EVOSTAR2026: EVOSTAR2026

This page contains an index consisting of author-provided keywords.

2
2L-CVRP	On vehicle routing problems with loading constraints
A
A*	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
active learning	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Adaptation Mechanism	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
Adaptive Algorithm Selection	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Adaptive Curriculum Learning	Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
Adaptive Operator Selection	Learning to Search: A Reinforcement Learning Agent for Global Optimization
Adaptive Synthesis	Segmentation-Free Sound Hybridization for Creative Outcomes
Adaptive Tabu Search	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
aerial robotics	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
aesthetic preference modelling	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Afrocentric aesthetics	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
Agent-based modeling	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Agentic AI	The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
Agentic AI Systems	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Agents	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Aggregation	Algorithms for Collaborative Harmonization
Aggregation method resilience	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
AI and music	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective
AI models for audio	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
AI-assisted digital art	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
AI-generated art	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
AI-Human Co-Creation	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Algorithm analysis	Semantic Search Trajectory Networks for Understanding Genetic Programming
Algorithm modelling	Semantic Search Trajectory Networks for Understanding Genetic Programming
Algorithm-Architecture Co-Design	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Algorithms	Algorithms for Collaborative Harmonization
ALNS	On vehicle routing problems with loading constraints
Alpha-Domination	A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs
Annotations	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Antonio is the king of Granada	Can Sabrina’s Game be solved by Evolutionary Algorithms?
Antonio will be the king of Toulouse	Valid Protein Folding Conformations in HP Might Be Fractally Distributed
Arousal	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Artificial Gene Regulatory Network	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
artificial intelligence	A Dataset for Automatic Vocal Mode Classification
Artificial Life	Life Beings: Living Quantum Art
Artificial Neural Networks	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
artificial visual creativity	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Artistic research	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
Assistive technologies	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Astronomy	Generative musical exploration of astronomical catalogs
Asɛmpayɛtsia framework	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
Attention Head Pruning	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Audience-Guided Evolution	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Audio	Classifying Audio Timbre Without Audio Using Text-only Training
Audio feature analysis	Segmentation-Free Sound Hybridization for Creative Outcomes
Audio search	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
audio-reactive generative art	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Audiovisual composition	Mapping artificial neural networks’ processing data in audiovisual artworks
augmentation	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Automated Algorithm Design	From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Automated Algorithm Selectors	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
automated heuristic design	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Automated Machine Learning	Exploring the impact of fairness-aware criteria in AutoML
Automatic Fitness Evaluation	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Autonomous Design Evolution	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Autonomous Music Performance	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
B
Backtracking	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
Bayesian optimization	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Behaviour measurement	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
Benchmark Functions	Novel Particle Swarm Optimization for High-Dimensional Problems
Benchmarking	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Best Practices	New Perspectives on Cartesian Genetic Programming: A Survey
Bi-objective Optimization	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Bias mitigation	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes
Binary Optimization	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
biomedical data	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Black-Box Optimisation	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Bloat Reduction	Sinking the Bloat in Genetic Programming Using Equality Saturation
Boolean functions	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Boundary Constraint Handling Methods	Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization
C
Cartesian Genetic Programming	Node Preservation and its Effect on Crossover in Cartesian Genetic Programming New Perspectives on Cartesian Genetic Programming: A Survey Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP Exploring CGP Fitness Landscapes with MCTS
Cervical cancer screening	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Charging scheduling	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
ChatGPT	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Circumplex Model	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
CLAP	Classifying Audio Timbre Without Audio Using Text-only Training
CLIP	CLIP Prompt Optimization with Evolutionary-Driven LLMs
CLIP-IQA	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
Closed-Loop Evolutionary Systems	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
co-optimization	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Code Correctness	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
Code Transformation	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
coevolution	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
collaboration	Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation
Collaborative Inference	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference
Combinatorial Optimization	CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem Optimizing Tourist Trip Design for Urban Sustainability Data-driven Learning for the Nurse Scheduling Problem A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
Competitive Coevolution	Tripping Over The Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame
complete vocal technique	A Dataset for Automatic Vocal Mode Classification
Complex networks	Semantic Search Trajectory Networks for Understanding Genetic Programming
complex systems	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective Life Beings: Living Quantum Art
complexity science	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective
Computational aesthetics	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution Mapping artificial neural networks’ processing data in audiovisual artworks EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Computational creativity	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Computer Science	Generative musical exploration of astronomical catalogs
conditional distribution	On the impact of conditional distribution in discovered differential equation ensembles
Condominial model	Evolutionary approach for sewer network design under the condominial model
Conformal cooling channels	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Constrained Optimization	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization
Constraint Handling	Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Constraint Learning	Data-driven Learning for the Nurse Scheduling Problem
Constraint programming	CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem
Constraint Satisfaction Problem (CSP)	Data-driven Learning for the Nurse Scheduling Problem
Constraint-Aware Optimization	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference
Constructive method	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Continuous Control	Dynamic Vector and Matrix Memory for Tangled Program Graphs Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
continuous optimization	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Continuous Problems	Novel Particle Swarm Optimization for High-Dimensional Problems
convolutional neural network	A Dataset for Automatic Vocal Mode Classification Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
Cooperative Learning	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
Covariance Matrix Adaptation Evolution Strategy	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
creation · Computational aesthetics · Recording studio · Human-machine	Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation
Creative AI	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
creative AI systems	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Creative audio processing	Segmentation-Free Sound Hybridization for Creative Outcomes
Creative coding	Mapping artificial neural networks’ processing data in audiovisual artworks
creative coding support tools	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Cross-benchmark Generalisation	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
Cross-cultural Performance Art	Fluid Body: An Adaptive Embodied Sonification System for Cross-Cultural Performance
cross-validation	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Crossover	Node Preservation and its Effect on Crossover in Cartesian Genetic Programming New Perspectives on Cartesian Genetic Programming: A Survey
Crossover and Mutation Operators	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
cryptography	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Cultural computation	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
cultural sovereignty	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Cyber-attack detection	Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
D
data curation	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
data filtering	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Data Reduction	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
data sampling	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Data-Centric Artificial Intelligence	Exploring the impact of fairness-aware criteria in AutoML
Dataset	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Decision Support	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Decolonial AI	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
Decomposition	Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes
Deconvolution	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Deep Learning	Weather Sonification via a Latent Emotion Space: A Deep Learning Approach
Deep neural networks	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Denoising Diffusion	A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs
Density Estimation	Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness
diabetic foot ulcer	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
DIBCO benchmark	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Differential Evolution	PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization CLIP Prompt Optimization with Evolutionary-Driven LLMs
Diffusion Models	A Novel Diffusion Model based Approach for Sleep Music Generation Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
Digital Art	Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA)
direct human experts evaluation	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Distributed Neural Controllers	Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
Distributed systems	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Domain adaptation	Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Domain-specific codecs	Evolutionary Design of Specialized Image Compression Operators
Dota 2	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
Drug design	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
E
eBus Charging Location Problem	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
Edge computing	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference Evolutionary Design of Specialized Image Compression Operators Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Electric Buses	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
Electric vehicles	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Electron Ionization mass spectrometry	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Embedded Intelligence	Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks
Embedding evaluation	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
Embodied Sonification	Fluid Body: An Adaptive Embodied Sonification System for Cross-Cultural Performance
Emergence	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective Life Beings: Living Quantum Art
Emotion-aware System	Decoding Emotions: Multimodal integration of deep embeddings, lyrics and music-aware cues
Emotional Association	Weather Sonification via a Latent Emotion Space: A Deep Learning Approach
encoder-decoder architecture	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Energy efficiency	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Energy-Efficient Inference	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference
Equality Saturation	Sinking the Bloat in Genetic Programming Using Equality Saturation
equation discovery	On the impact of conditional distribution in discovered differential equation ensembles
Estimation of Distribution Algorithms	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
Estimation-of-Distribution Algorithms	A Self-Adjusting Compact Genetic Algorithm Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Evolution Strategy	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Evolution Through Large Models	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Evolutionary algorithm	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies Evolutionary approach for sewer network design under the condominial model Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Evolutionary Algorithms	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame Evolutionary Design of Specialized Image Compression Operators ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs Can Sabrina’s Game be solved by Evolutionary Algorithms? Random Search Matches EA for MoE Topology Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
evolutionary art	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Evolutionary Computation	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution EvoTADASHI: Genetic Programming for High-Performance Code Optimization Expensive Evolutionary Computation: Where are we, and what’s next? The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Evolutionary Computation Education	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Evolutionary Computation in Music	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Evolutionary Computation Pedagogy	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Evolutionary Computation Practitioners	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Evolutionary computing	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Evolutionary Creativity	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Evolutionary Feature Construction	Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression
evolutionary graphics	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Evolutionary Machine Learning	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Evolutionary Optimization	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
evolutionary robotics	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Evolutionary Transfer Learning	PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization
Evolutionary Transfer Optimization	PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization
Expensive optimization	Expensive Evolutionary Computation: Where are we, and what’s next?
Explainability	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Explainable Benchmarking	From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Exploratory Landscape Analysis	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Extrapolation	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
F
Facility Location	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Fair machine learning	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes
Fairness	Exploring the impact of fairness-aware criteria in AutoML
Fast Feedforward Networks	Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks
Federated Learning	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
FedGP	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
fitness landscape	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem Random Search Matches EA for MoE Topology
Future Perspectives	New Perspectives on Cartesian Genetic Programming: A Survey
Fuzzy Self-Tuning Particle Swarm Optimization	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
G
G-OneMax	A Self-Adjusting Compact Genetic Algorithm
Generative AI	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA) The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
Generative AI · Music creation · Research-creation · Co-	Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation
Generative Art	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA Life Beings: Living Quantum Art
Generative Art Evolution	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Generative artificial intelligence	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
generative contemporary art	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
generative design tools	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
generative music	Probing for Advanced Music Theory Concepts in Generative Music Models
Generative Music Systems	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Generative sound and image	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
Genetic Algorithm	CLIP Prompt Optimization with Evolutionary-Driven LLMs Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Genetic Algorithms	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Genetic Programming	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis Comparison of parent and environmental selection schemes in genetic programming for symbolic regression EvoTADASHI: Genetic Programming for High-Performance Code Optimization A Comparative Study on Robustness in Evolved Image Classifiers Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference Quantifying Dota 2 Invoker Agent Spell Casting Behaviours Semantic Search Trajectory Networks for Understanding Genetic Programming Evolutionary Design of Specialized Image Compression Operators Sinking the Bloat in Genetic Programming Using Equality Saturation FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach Exploring CGP Fitness Landscapes with MCTS Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Genetic programming Guided local search	Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
Genotype-to-phenotype mapping	Semantic Search Trajectory Networks for Understanding Genetic Programming
Geometric parametrization	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Geometric Semantic Mutation	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Global Optimization	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism Learning to Search: A Reinforcement Learning Agent for Global Optimization
GLS	On vehicle routing problems with loading constraints
GLSL program synthesis	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
GP	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
GPU Acceleration	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Gradient-free optimization	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Grammatical Evolution	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Graph Neural Networks	Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Graph-based Genetic Programming	Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured Exploring CGP Fitness Landscapes with MCTS
Graph-based Medical Image Analysis	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
GRASP	A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs
Gray-box Optimization	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes
H
Hall of Fame	Tripping Over The Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame
hardware accelerator	Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
Hebbian Learning	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Heuristic Algorithms	Optimizing Tourist Trip Design for Urban Sustainability
Heuristics	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Hidden Markov Models	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Hierarchy Emergence	From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System
High Performance Computing	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
High-Dimensional Optimization	Novel Particle Swarm Optimization for High-Dimensional Problems
High-Performance Computing	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
human-AI collaboration	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
human-in-the-loop evolution	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Human–Computer Interaction	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
HVAC	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control
Hybrid AI framework	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Hybrid Deep Learning for CT Image	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
Hybrid Metaheuristics	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
I
image binarization	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Image compression	Evolutionary Design of Specialized Image Compression Operators
Image Generation	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
image similarity metrics	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Informed Down-Sampling	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis
Initial solutions	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Injection molding	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Insomnia	A Novel Diffusion Model based Approach for Sleep Music Generation
Integer programming	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Integral Lattice	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
intellectual property	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
interactive evolutionary computation	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Interactive Evolutionary Computation Automation	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Interactive Evolutionary Music	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Interpretability	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Interpretable artificial intelligence	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Intrinsic and Extrinsic Exploration	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Island Models	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Iterated Local Search	Cost-Efficient Charging Station Deployment for Electric Bus Fleets Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
J
Job-shop scheduling problems	A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
K
K-Traveling Repairman Problem	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
Kendall Tau Distance	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
Knowledge discovery	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
L
Landscape Analysis	From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Language models	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
Large Language Models	The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models From Performance to Understanding: A Vision for Explainable Automated Algorithm Design Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs CLIP Prompt Optimization with Evolutionary-Driven LLMs LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Large-scale vehicle routing problem	Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
latency predictor	Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
Latent Yield	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Lennard-Jones Problem	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Lexicase Selection	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis Comparison of parent and environmental selection schemes in genetic programming for symbolic regression
Library search	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
lifetime learning	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Linear Genetic Programming	Dynamic Vector and Matrix Memory for Tangled Program Graphs Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured
Linear Scaling	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Live Coding	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
LLM-driven code generation	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
LLM-Driven Creativity	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
LLM-driven Evolutionary Computation	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
LLMs	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution Classifying Audio Timbre Without Audio Using Text-only Training
Load balancing	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Local Search	Methods for Finding Paths of a Prescribed Length in Weighted Graphs Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes
local update rule	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
M
machine creativity	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Machine Learning	A Comparative Study on Robustness in Evolved Image Classifiers Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem Data-driven Learning for the Nurse Scheduling Problem Mapping artificial neural networks’ processing data in audiovisual artworks Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks Classifying Audio Timbre Without Audio Using Text-only Training
Malian musical heritage	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Markov Decision Process	Learning to Search: A Reinforcement Learning Agent for Global Optimization
Matching pursuit	Segmentation-Free Sound Hybridization for Creative Outcomes
Maximal Covering Location Problem	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Medical prediction	Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Melodic patterns	Quantum Latent Spaces for Symbolic Music Generation
Memory	Dynamic Vector and Matrix Memory for Tangled Program Graphs
Mental Health	A Novel Diffusion Model based Approach for Sleep Music Generation
Meta-heuristics	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Metaheuristic	Learning to Search: A Reinforcement Learning Agent for Global Optimization
MIMER	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Mixture-of-Experts	Random Search Matches EA for MoE Topology
Modality Gap	Classifying Audio Timbre Without Audio Using Text-only Training
Model Selection Criteria	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
Model-based Evolutionary Algorithms	Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured
Module Lattice	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
MOEA/D	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Molecular crossover	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Molecular optimization	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Monte Carlo Tree Search	Exploring CGP Fitness Landscapes with MCTS
morphological evolution	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Multi-Agent Reinforcement Learning	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Multi-agent systems	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System
Multi-Island Distributed Algorithm	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Multi-Objective Combinatorial Optimization	Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes
multi-objective evolutionary algorithm	Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
Multi-Objective Evolutionary Algorithms	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Multi-Objective Metaheuristic Optimization	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Multi-Objective Optimization	Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
Multi-Scale Musical Mutation	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Multi-task Learning	Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Multi-Tree Genetic Programming	Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression
multi-valued compact genetic algorithm	A Self-Adjusting Compact Genetic Algorithm
Multimodal	Classifying Audio Timbre Without Audio Using Text-only Training
Multimodal Evolutionary Framework	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Multimodal Learning	Decoding Emotions: Multimodal integration of deep embeddings, lyrics and music-aware cues
Music	Algorithms for Collaborative Harmonization Generative musical exploration of astronomical catalogs
Music Emotion Recognition	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Music Emotion Recognition (MER)	Decoding Emotions: Multimodal integration of deep embeddings, lyrics and music-aware cues
music information retrieval	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Music loops	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
Music retrieval	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
music theory	Probing for Advanced Music Theory Concepts in Generative Music Models
Music Therapy	A Novel Diffusion Model based Approach for Sleep Music Generation
musical creativity	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective
musical hybridization	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Musical Lineages	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
musical meaning	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective
Mutation	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
N
national languages	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
NEAT	TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization
Negative Results	Random Search Matches EA for MoE Topology A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Neural Architecture Search	Random Search Matches EA for MoE Topology Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
neural cellular automaton	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Neural Networks	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Neuro-inspired Computing	Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
Neuroevolution	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning A Self-Adjusting Compact Genetic Algorithm TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
New Directions	Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
Node Preservation	New Perspectives on Cartesian Genetic Programming: A Survey
NSGA-II	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
NSGA-III	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
Numerical Optimisation	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Nurse Rostering	Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Nurse Scheduling Problem (NSP)	Data-driven Learning for the Nurse Scheduling Problem
O
operational research	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
Optimal Mutation Step	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Optimisation	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Oven scheduling problem	CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem
Overfitting	Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness
P
Packing	On vehicle routing problems with loading constraints
Packing heuristics	On vehicle routing problems with loading constraints
Pancreatic Tumor Detection	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
parent selection	Comparison of parent and environmental selection schemes in genetic programming for symbolic regression
Pareto Tournament	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Particle Swarm Optimization	Novel Particle Swarm Optimization for High-Dimensional Problems Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Partition Crossover	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
pastiche	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Paths	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
peace narratives	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Penalty Weights	Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Phylogenetic Music Analysis	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Plasticity	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Polyhedral Model	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
Population Based Training	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Positional Bias	New Perspectives on Cartesian Genetic Programming: A Survey
Post Quantum Cryptography	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
Post-optimal analysis	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Postcolonial Digital Humanities	Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA)
Pre-processing	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes
Predictive coding	Evolutionary Design of Specialized Image Compression Operators
probing	Probing for Advanced Music Theory Concepts in Generative Music Models
Problem Generation	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Problem reduction	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
Procedural Music Generation	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
procedural visual art	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Program Synthesis	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis Sinking the Bloat in Genetic Programming Using Equality Saturation Exploring CGP Fitness Landscapes with MCTS
prompt augmentation	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Prompt Embeddings	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
prompt engineering	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
prompt inference	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Prompt-Based Evolution	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Protein Folding	Valid Protein Folding Conformations in HP Might Be Fractally Distributed
Pseudo-Boolean Optimization	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Pythia	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
Q
Quadratic Unconstrained Binary Optimization	Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Quality-diversity	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Quantum Computing	Life Beings: Living Quantum Art
Quantum Latent Spaces	Quantum Latent Spaces for Symbolic Music Generation
Quantum Variational Autoencoder	Quantum Latent Spaces for Symbolic Music Generation
Quantum-classical generative model	Quantum Latent Spaces for Symbolic Music Generation
Quantum-inspired genetic algorithm	A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
R
Random Down-Sampling	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis
Rank Aggregation	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
Rank-based metrics	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
Ranking	TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization
Real case study	Evolutionary approach for sewer network design under the condominial model
Real-Time Musical Adaptation	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
real-world problems	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Reasoning	Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Recommendation System	Optimizing Tourist Trip Design for Urban Sustainability
Reinforcement Learning	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights Dynamic Vector and Matrix Memory for Tangled Program Graphs Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization Learning to Search: A Reinforcement Learning Agent for Global Optimization A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
reverse model	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
Robotics	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Robustness	A Comparative Study on Robustness in Evolved Image Classifiers
S
Safety Evaluation	ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
Saliency	Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
sampleability	Can Sabrina’s Game be solved by Evolutionary Algorithms? Valid Protein Folding Conformations in HP Might Be Fractally Distributed
Satellite imagery	Evolutionary Design of Specialized Image Compression Operators
Scheduling	Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
Scientific Discovery	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Search Space Exploration	Exploring CGP Fitness Landscapes with MCTS
Search trajectories	Semantic Search Trajectory Networks for Understanding Genetic Programming
self-adjusting	A Self-Adjusting Compact Genetic Algorithm
Self-organized criticality	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Semantic Awareness	Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness
Semantic Complementarity	Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression
Semantic GP	Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP
Semantic Mutation	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
semantic mutation and crossover	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Semantic Mutation Operators	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Semantic representation	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
Semantic segmentation	Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Semantics	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Sensitivity Analysis	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
Sewer network design	Evolutionary approach for sewer network design under the condominial model
shader evolution	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
shader-based generative animation	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Shortest Vector Problem	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
Sieving	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
singing voice dataset	A Dataset for Automatic Vocal Mode Classification
Single-Solution	Learning to Search: A Reinforcement Learning Agent for Global Optimization
size invariance	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Skin Cancer	Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
Sleep Music Generation	A Novel Diffusion Model based Approach for Sleep Music Generation
SLIM	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Sobol indices	On the impact of conditional distribution in discovered differential equation ensembles
Social Choice	Algorithms for Collaborative Harmonization
social cohesion	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Social Dimensions of Evolutionary Computation	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Solution Concept	Tripping Over The Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame
Solution Pattern Sharing	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
Song structural segmentation	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Sonification	Generative musical exploration of astronomical catalogs Mapping artificial neural networks’ processing data in audiovisual artworks
Sound hybridization	Segmentation-Free Sound Hybridization for Creative Outcomes
South Asia	Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA)
Spell Casting	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
Staff Scheduling	Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
stochastic differential equations	On the impact of conditional distribution in discovered differential equation ensembles
Stochastic Natural Gradient Ascent	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
Strudel (TidalCycles DSL)	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
style transfer	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks Multi-Objective Optimization for Synthetic-to-Real Style Transfer
subject-wise	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Suno AI	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Supervised ML-based System	Fluid Body: An Adaptive Embodied Sonification System for Cross-Cultural Performance
Surrogate Models	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Surrogate-assisted Evolutionary Algorithms	Expensive Evolutionary Computation: Where are we, and what’s next?
Surrogate-Assisted Optimisation	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Swarm Intelligence	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence Novel Particle Swarm Optimization for High-Dimensional Problems
Symbolic Music Evolution	EvoLiveDJ: An LLM-Based Agentic System for Interactive Evolutionary Live Music Performance
Symbolic Music Generation	Quantum Latent Spaces for Symbolic Music Generation
Symbolic Regression	Comparison of parent and environmental selection schemes in genetic programming for symbolic regression Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
T
Tales of Tribute	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Tangled Program Graphs	Dynamic Vector and Matrix Memory for Tangled Program Graphs Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Task transfer	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
tax	A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
Tensorization	TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization
Ternary Patterns	Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
Text-only Training	Classifying Audio Timbre Without Audio Using Text-only Training
text-to-image models	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
The Traveling Tournament Problem	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Timbral synthesis	Segmentation-Free Sound Hybridization for Creative Outcomes
Timbre	Classifying Audio Timbre Without Audio Using Text-only Training
Time Series Forecasting	Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
Top-k List	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
Topology optimization	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Tourist Trip Design	Optimizing Tourist Trip Design for Urban Sustainability
Tournament Selection	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis
Training dynamics	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
transfer learning	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Transformer Models	Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP
Transformer NN Scheduling	Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
Trophic Analysis	From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System
U
Uncertainty Quantification	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Urban Sustainability	Optimizing Tourist Trip Design for Urban Sustainability
user-guided evolutionary systems	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
V
Valence	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Valid solutions	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Vector databases for audio	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
Vehicle routing	On vehicle routing problems with loading constraints
Videogames	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Vision Transformer Pruning	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Visual Large Language Models	EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
Visualisation	Semantic Search Trajectory Networks for Understanding Genetic Programming
vocal modes	A Dataset for Automatic Vocal Mode Classification
Voxel-Based Soft Robots	Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
W
Wagner--Meggitt grading	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Water Distribution Networks	Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Weather Sonification	Weather Sonification via a Latent Emotion Space: A Deep Learning Approach
WebGL generative visuals	AI Co-Artist: An LLM-Powered System for Interactive GLSL Shader Animation Evolution
Word similarity	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
X
XAI	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images

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