EVO*2025: EVOSTAR 2025

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

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3D Art	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art
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4-part harmonization	Combining local search and directed mutation in evolutionary approaches to 4-part harmony
A
Abstract Art	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
Adaptive Large Neighborhood Search	A Selective Vehicle Routing Problem for the Bloodmobile System
Adaptive Meal Planning	Optimizing Dietary Plans Using Evolutionary Algorithms
Adjacent Distance Matrix	Adjacent Distance Matrix-based Competitive Swarm Optimizer
Aesthetic perception	Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration
Aesthetics	Aesthetic biases and opacity tactics in the training of visual artificial intelligence models Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Agriculture	An innovative approach for managing the water requirements of fig trees using artificial intelligence
AI	Perceptions of AI in Animation Production
AI accompaniment	Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers
AI Healthcare	AI in Music and Healthcare: A Comparative Survey
AI Music	AI in Music and Healthcare: A Comparative Survey
AI Music Composition	AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
AI opinions	AI in Music and Healthcare: A Comparative Survey
AI-generated video	Generating Virtual Landscapes and Environmental Narratives with StyleGAN2
AIGC	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate
AlexanderMoraIsTheBest	The Traveling Tournament Problem: Constraint Violations for Different MaxStreak Values
algorithm behaviour	Stalling in Space: Attractor Analysis for any Algorithm
Algorithm Evolution	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
Algorithm selection	Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Algorithm Trajectory	Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Algorithm visualization	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
Algorithmic behavior	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem
Ambulance Allocation	Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization
Ancillary Services Markets	A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility
Animation	Perceptions of AI in Animation Production
Anomaly detection	Multi-Modal Fusion Techniques for Detecting Abnormal Events in Videos
Ant Colony Optimization	Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task
Ant-based Metaheuristic	Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task
Anytime algorithms	Evolutionary Anytime Algorithms
Appeal	Perceptions of AI in Animation Production
Application	Real Application Challenges in Evolutionary Optimization? People!
Artificial ecosystems	Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution
artificial intelligence	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
Artificial Neural Network	An innovative approach for managing the water requirements of fig trees using artificial intelligence
Artificial Neural Networks	Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization
artistic creation	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate
Artistic inspiration	Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration
Artwork Authentication	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Artwork classification	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Athlete Nutrition Optimization	Optimizing Dietary Plans Using Evolutionary Algorithms
Audio Engineering	An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
audio-visual integration	Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT
audiovisual production	Short video interestingness: a machine learning approach to determine creative cues in audiovisual production
Automated Design of Heuristics	Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
Automated Machine Learning	GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Climbing the tower of meta-mutations - the role of higher-order mutations
Automated Music Composition	Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Automatic Design of Representations	Geometric Particle Swarm Optimization in Program Trace Optimization
Automatic music generation	Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers
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Bacteria	Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
Benchmarking	Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
Bias	An Investigation of Structural Bias in Particle Swarm Optimization Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Bias Identification	Evolutionary Bias Identification with Embeddings
Bilevel Optimization	A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility
Bin Packing Problem	Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
Black-box games	Robust search for the underlying objectives in black-box games with binary outcomes
Black-Box Optimisation	Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
block coordinate descent	Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
Bloodmobiles	A Selective Vehicle Routing Problem for the Bloodmobile System
Bloom filters	Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming
Board Games	Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.
Boolean functions	The More the Merrier: On Evolving Five-valued Spectra Boolean Functions A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
Breast Cancer	Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification
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Cartesian Genetic Programming	Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task Multi-Objective Evolutionary Design of Explainable EEG Classifier On the Effectiveness of Crossover Operators in Cartesian Genetic Programming
Causality	Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
cellular automata	Exploring the Integration of Cellular Structures in Genetic Programming-based Methods Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT
cellular automaton	Multi-Purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
Chord Analysis	Foundations of LLCM: Labelled Lambek Calculus for Music Analysis
Classification	Multi-Objective Evolutionary Design of Explainable EEG Classifier
Clouds	A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds
CMA-ES	Mixed-Binary Problems Optimized with Fast Discrete Solver Optimizing Camera Placement for Chicken Farm Monitoring
CMA-ME	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Co-evolution	Multi-Objective Evolutionary Design of Explainable EEG Classifier
Coevolution	Robust search for the underlying objectives in black-box games with binary outcomes
Combinatorial Optimisation	Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
Combinatorial Optimization	Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop. Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Comparative study	Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
Competitive Swarm Optimizer	Adjacent Distance Matrix-based Competitive Swarm Optimizer
computational aesthetics	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
Computational Creativity	Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration Yin-Yang: Developing Motifs With Long-Term Structure And Controllability The Importance of Context in Image Generation: A Case Study for Video Game Sprites Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
computer program tuning	gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Computer Vision	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Concert program notes	EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes
Conditional Generative Adversarial Networks	Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers
conditionally matching rule	Multi-Purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
Configuration	Extending Instance Space Analysis via Bipartite Network Communities
Constrained Optimization Problems	Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems
Constraint Programming	Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.
constraints	The Traveling Tournament Problem: Valid Solutions are Very Different The Traveling Tournament Problem: Constraint Violations for Different MaxStreak Values
Container relocation problem	Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming
continuous landscape	Generating Virtual Landscapes and Environmental Narratives with StyleGAN2
controllable text generation	Future Sight: Fine-tuning Language Models for Dynamic Story Generation
Controlled Generation	Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Convolutional Neural Networks	Exploiting the Temporal Order of Sound Features for Onset Detection
cooperative co-evolution	Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
Correlation between objectives	Using Local Correlation Between Objectives to Detect Problem Modality
Cost-Effective Nutrition Solutions	Optimizing Dietary Plans Using Evolutionary Algorithms
Creative Agency in AI	AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
Creative Coding	Exploring Bridges Between Creative Coding and Visual Generative AI
Creative process	Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration
Cross-modal attention	Multi-Modal Fusion Techniques for Detecting Abnormal Events in Videos
crossover	On the Effectiveness of Crossover Operators in Cartesian Genetic Programming The Traveling Tournament Problem: Valid Solutions are Very Different
Crossover Effects	On the Effectiveness of Crossover Operators in Cartesian Genetic Programming
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Dams strategic plans	Multi-objective particle swarm optimization for environmental risk/benefit analysis
Data Mining	Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization
Data science	Optimizing the logistics operations of distribution network operators from a multinational electric utility company
Data-Centric Artificial Intelligence	EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
Dataset generation	EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes
Decision Trees	Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Decision-making procedure	Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics
Decomposition	LON/D — Sub-problem Landscapes in Multi-objective Decomposition
Deep Learning	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Deep Learning for Audio	An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
Deflate Mutation	Introducing Crossover in SLIM-GSGP
Demand Response	A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility
Demand-side Flexibility Aggregation	A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility
Depth-mask compositing	All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference
Differential Evolution	Differential Evolution for Optimizing Ensemble Weights in Multiclass Sentiment Classification
Diffusion Model	Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
diffusion models	Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
Digital Humanities	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Dimensional Emotion	Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming
Directed Mutation	Combining local search and directed mutation in evolutionary approaches to 4-part harmony
Discrete Event Simulation	Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization
Discriminating Instances	Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
DISH-XX	An Automated Financial Management System for Risk Budgeting Portfolio Optimization
Distributed constraint satisfaction problem	A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
Distributed Intelligence	A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
Diversity Optimization	Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
Down-Sampling	Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
Dragon Gate	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate
Dual-tree solution encoding	Multi-Tree Genetic Programming for Dynamic Tugboat Scheduling
Dynamic Diet Optimization Systems	Optimizing Dietary Plans Using Evolutionary Algorithms
Dynamic load balancing	Testing Self-Organized Load Balancing in Distributed Systems
Dynamic project scheduling	Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics
Dynamic resource allocation	A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds
Dynamic Systems	Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
Dynamic tugboat scheduling problem	Multi-Tree Genetic Programming for Dynamic Tugboat Scheduling
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EEG	Multi-Objective Evolutionary Design of Explainable EEG Classifier
Efficient Communication	A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
Electrical energy	Optimizing the logistics operations of distribution network operators from a multinational electric utility company
Embedded intelligence	Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
Embedding Space	Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Emotion-to-Music	Statistical-Mechanical Approach to Music: A Nature-Inspired Model for Rule-Free Composition
Empirical analysis	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
encodings	A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
Energy Consumption	Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms
Energy efficiency	Testing Self-Organized Load Balancing in Distributed Systems
energy-aware computing	Measuring energy consumption of BBOB fitness functions
Engineering Design Problems	Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems
Ensemble Learning	An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation Differential Evolution for Optimizing Ensemble Weights in Multiclass Sentiment Classification
Environmental Prints	Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone
Estimation-of-Distribution Algorithm	Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems
Estimation-of-distribution algorithms	A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes
Evaluation	Towards the Automatic Evaluation of Legibility for Graphic Design Posters
Evolution	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Evolution Strategies	Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task
Evolutionary Algorithm	Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task Multi-Purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules Evolutionary Anytime Algorithms Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Evolutionary Algorithms	Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems Exploring the Integration of Cellular Structures in Genetic Programming-based Methods The More the Merrier: On Evolving Five-valued Spectra Boolean Functions Evolutionary Bias Identification with Embeddings Measuring energy consumption of BBOB fitness functions Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining Real Application Challenges in Evolutionary Optimization? People! Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Evolutionary Art	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art
Evolutionary Computation	Exploring the Integration of Cellular Structures in Genetic Programming-based Methods Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms An Investigation of Structural Bias in Particle Swarm Optimization
Evolutionary Feature Construction	Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
Evolutionary machine learning \and Co-evolution	Generate more than one child in your co-evolutionary semi-supervised learning GAN
Evolutionary Machine Teaching	Combining local search and directed mutation in evolutionary approaches to 4-part harmony
evolvable bytecode	Image classification by evolving bytecode
Expert knowledge	Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining
Explainability	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Multi-Objective Evolutionary Design of Explainable EEG Classifier Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning Using SHAP to visualize Pre-Match Outcome Prediction in Dota 2 Extending Instance Space Analysis via Bipartite Network Communities
explainable artificial intelligence	Into the Black Box: Mining Variable Importance with XAI
Exploratory Landscape Analysis	Effect of Fitness Values Weighting on Clustering of Single-Objective Fitness Landscapes
Expressive drum generation	Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers
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Fairness	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
farm monitoring	Optimizing Camera Placement for Chicken Farm Monitoring
Fast Feedforward Networks	Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
fault mitigation	Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport
Feature alignment	Multi-Modal Fusion Techniques for Detecting Abnormal Events in Videos
Feature Construction	Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification
Feature Extraction	Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Feature Selection	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning
FedAVG	FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data
Federated Learning	FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
FedGP	FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data
fitness histograms	Effect of Fitness Values Weighting on Clustering of Single-Objective Fitness Landscapes
fitness landscape	Stalling in Space: Attractor Analysis for any Algorithm Effect of Fitness Values Weighting on Clustering of Single-Objective Fitness Landscapes
Fitness Landscape Analysis	Adaptive neighborhood search based on landscape learning: a TSP study Healthcare Facility Location Problem and Fitness Landscape Analysis
Five-valued Functions	The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
Folk Music	Graph Neural Network vs Feature-based Folk Music Evolution Analysis
Freight-on-Transit	A Genetic Approach to the Operational Freight-on-Transit problem
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GA	Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
Generative Adversarial Network	Generate more than one child in your co-evolutionary semi-supervised learning GAN
Generative AI	Exploring Bridges Between Creative Coding and Visual Generative AI Search-based Negative Prompt Optimisation for Text-to-Image Generation Yin-Yang: Developing Motifs With Long-Term Structure And Controllability The Importance of Context in Image Generation: A Case Study for Video Game Sprites Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Generative Art	Exploring Bridges Between Creative Coding and Visual Generative AI Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art
Generative Music	AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
Generative Procedural Art	Exploring Bridges Between Creative Coding and Visual Generative AI
Genetic Algorithm	The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility A Genetic Approach to the Operational Freight-on-Transit problem Multi-Objective Evolutionary Design of Explainable EEG Classifier Climbing the tower of meta-mutations - the role of higher-order mutations Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees. A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
Genetic Algorithms	Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Genetic Algorithms in Health	Optimizing Dietary Plans Using Evolutionary Algorithms
genetic drift	A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes
genetic improvement	Population Diversity, Information Theory and Genetic Improvement gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Genetic Operators	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Genetic Programming	FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data Exploring the Integration of Cellular Structures in Genetic Programming-based Methods Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming Evolved and Transparent Pipelines for Biomedical Image Classification The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression Unified Piecewise Symbolic Regression A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning Image classification by evolving bytecode gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Geometric Framework	Geometric Particle Swarm Optimization in Program Trace Optimization
Geometric Mutation	Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP
Geometric Semantic Crossover	Introducing Crossover in SLIM-GSGP
Geometric Semantic Genetic Programming	Exploring the Integration of Cellular Structures in Genetic Programming-based Methods Introducing Crossover in SLIM-GSGP Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
global optimization	We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
Global optimization meta-heuristics	A Survey of Modern Hybrid Particle Swarm Optimization Algorithms
GNU glibc heap management	gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
GPT	Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Grammatical Evolution	Estimation of total body fat using symbolic regression and evolutionary algorithms. A Symbolic Regression Screening Approach within Peptide Optimisation Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification Social Interpretable Reinforcement Learning Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Granular Metamaterials	Scalable Evolution of Logically Independent Polycomputational Materials Greater AI Design Control Aids Evolution of Computational Materials
Graph Analysis	Graph Neural Network vs Feature-based Folk Music Evolution Analysis
Graph Coloring Problem	Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Graph Neural Networks	Graph Neural Network vs Feature-based Folk Music Evolution Analysis
Graphic Design	Towards the Automatic Evaluation of Legibility for Graphic Design Posters
Green AI	Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms
Green Automated Machine Learning	EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
green computing	Measuring energy consumption of BBOB fitness functions
Grouping Genetic Algorithm	Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
H
hand-crafted feature	Short video interestingness: a machine learning approach to determine creative cues in audiovisual production
Heal-care Logistics	A Selective Vehicle Routing Problem for the Bloodmobile System
heuristic	The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
Heuristic optimization	Optimizing the logistics operations of distribution network operators from a multinational electric utility company
heuristics	We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
higher-order meta-learning	Climbing the tower of meta-mutations - the role of higher-order mutations
Horizontal alignment optimization	Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
Human Capital	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Human Teaching	Combining local search and directed mutation in evolutionary approaches to 4-part harmony
Human-AI Collaboration	AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
Human-AI Interaction	Exploring Bridges Between Creative Coding and Visual Generative AI Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
human-in-the-loop	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate
Hybrid algorithms	A Survey of Modern Hybrid Particle Swarm Optimization Algorithms
Hybridization	Mixed-Binary Problems Optimized with Fast Discrete Solver
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Identification	Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Image Classification	Evolved and Transparent Pipelines for Biomedical Image Classification
image filter	Multi-Purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
Image Generation	Search-based Negative Prompt Optimisation for Text-to-Image Generation Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts
Image Synthesis	Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
Imitation Learning	Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone
In-memory Computing	Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
Inflate Mutation	Introducing Crossover in SLIM-GSGP
Information theory	Population Diversity, Information Theory and Genetic Improvement
Injection Molding	Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization
ink-wash animation	Exploring the Application of AIGC in Ink-Wash Animation Creation：A Case Study of Dragon Gate
Instance space analysis	Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem Extending Instance Space Analysis via Bipartite Network Communities
Interaction Dimension Extraction	Robust search for the underlying objectives in black-box games with binary outcomes
Interactive role mining	Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining
internet of things	Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT
Interpretability	Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification Social Interpretable Reinforcement Learning Unified Piecewise Symbolic Regression A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning
Interpretable Machine Learning	Evolved and Transparent Pipelines for Biomedical Image Classification
Interpretable Reinforcement Learning	Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Inventory Control	Adaptive Local Search for Real-World Multi-Echelon Inventory Control
Irrigation water use efficiency	Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees.
K
Kandinsky	Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
Kin selection	Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution
Knapsack Problem	Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Knowledge-Based Financial Management System Portfolio Optimization	An Automated Financial Management System for Risk Budgeting Portfolio Optimization
L
Lambek Calculus	Foundations of LLCM: Labelled Lambek Calculus for Music Analysis
Landscape analysis	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning LON/D — Sub-problem Landscapes in Multi-objective Decomposition
Landscape features	Using Local Correlation Between Objectives to Detect Problem Modality
landscape generation	Generating Virtual Landscapes and Environmental Narratives with StyleGAN2
Language-guided automation	All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference
Large language model	EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes
Large Language Models	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Large neighborhood search	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
Last-Mile Delivery	A Genetic Approach to the Operational Freight-on-Transit problem
LeadingOnes	A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes
Legibility	Towards the Automatic Evaluation of Legibility for Graphic Design Posters
Lexicase Selection	Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
Lin-Kernighan-Helsgaun algorithm	Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm
Llama	Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Local optima network	LON/D — Sub-problem Landscapes in Multi-objective Decomposition
local optima networks	Stalling in Space: Attractor Analysis for any Algorithm
Local Search	Healthcare Facility Location Problem and Fitness Landscape Analysis Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm Search-based Negative Prompt Optimisation for Text-to-Image Generation Combining local search and directed mutation in evolutionary approaches to 4-part harmony Adaptive Local Search for Real-World Multi-Echelon Inventory Control Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features
Local search heuristic	Price-and-branch Heuristic for Vector Bin Packing
M
Machine learning	Perceptions of AI in Animation Production Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification Short video interestingness: a machine learning approach to determine creative cues in audiovisual production An innovative approach for managing the water requirements of fig trees using artificial intelligence Using SHAP to visualize Pre-Match Outcome Prediction in Dota 2
Macronutrient Balancing	Optimizing Dietary Plans Using Evolutionary Algorithms
Many-objective optimization	Real Application Challenges in Evolutionary Optimization? People!
MAP-Elites	Trace-Elites: better Quality-Diversity with Multi-Point Descriptors Optimizing Camera Placement for Chicken Farm Monitoring The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks
Maximum Power Point Tracking	A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems
Mechanical Computing	Scalable Evolution of Logically Independent Polycomputational Materials Greater AI Design Control Aids Evolution of Computational Materials
memory reduction	gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Metabolic model	Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
Metaheuristic	An Investigation of Structural Bias in Particle Swarm Optimization
Metaheuristic Algorithms	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
Metaheuristic Algorithms (MAs)	Adjacent Distance Matrix-based Competitive Swarm Optimizer
Metaheuristics	Adaptive neighborhood search based on landscape learning: a TSP study Measuring energy consumption of BBOB fitness functions Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Microservice applications	A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds
MIDI Representation	SyMuRBench: Benchmark for symbolic music representations
Mixed Integer Linear Programming	A Genetic Approach to the Operational Freight-on-Transit problem
Mixed-binary optimization	Mixed-Binary Problems Optimized with Fast Discrete Solver
Mixture analysis	Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming
MOBA	Using SHAP to visualize Pre-Match Outcome Prediction in Dota 2
Model Aggregation	FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data
MOEA/D	LON/D — Sub-problem Landscapes in Multi-objective Decomposition
Monte Carlo Tree Search	Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.
Motif Development	Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Motion capture	Perceptions of AI in Animation Production
Multi-Agent Reinforcement Learning	A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning
Multi-agent systems	A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution
Multi-Echelon Replenishment	Adaptive Local Search for Real-World Multi-Echelon Inventory Control
Multi-objective combinatorial optimization	LON/D — Sub-problem Landscapes in Multi-objective Decomposition
Multi-objective design	Multi-Objective Evolutionary Design of Explainable EEG Classifier
Multi-Objective Evolutionary Algorithms	Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization
Multi-Objective Optimization	Optimizing Dietary Plans Using Evolutionary Algorithms Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
Multi-objective optimization problems	Multi-objective particle swarm optimization for environmental risk/benefit analysis
Multi-objective PSO	Multi-objective particle swarm optimization for environmental risk/benefit analysis
Multi-tree genetic programming	Multi-Tree Genetic Programming for Dynamic Tugboat Scheduling
multi-valued compact genetic algorithm	A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes
Multimodal anomaly detection	Multi-Modal Fusion Techniques for Detecting Abnormal Events in Videos
Multiobjective optimization	Using Local Correlation Between Objectives to Detect Problem Modality
multiple heterogeneous container loading	The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
Multiple modes	Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics
Multiple Objectives	Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization
Music Analysis	Foundations of LLCM: Labelled Lambek Calculus for Music Analysis
Music emotion recognition	EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes
Music Evolution Analysis	Graph Neural Network vs Feature-based Folk Music Evolution Analysis
Music Generation	Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Music Information Retrieval	Exploiting the Temporal Order of Sound Features for Onset Detection An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation SyMuRBench: Benchmark for symbolic music representations
Music Modelling	Statistical-Mechanical Approach to Music: A Nature-Inspired Model for Rule-Free Composition
Music Representation	SyMuRBench: Benchmark for symbolic music representations
Music Source Separation	An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
Music Structure	Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Musical video	Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features
mutation	The Traveling Tournament Problem: Valid Solutions are Very Different
Mutation Control	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
Mutation Step	Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP
N
Natural Language Processing	Evolutionary Bias Identification with Embeddings
Naturalness	Perceptions of AI in Animation Production
NCD	Population Diversity, Information Theory and Genetic Improvement
Near-infrared spectroscopy	Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming
Negative prompt	Search-based Negative Prompt Optimisation for Text-to-Image Generation
Network flow detection	Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming
Neural Architecture Search	Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
Neural Crossover	On the Effectiveness of Crossover Operators in Cartesian Genetic Programming
Neural Networks	Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees.
Neural text generation	Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration
Neuro-evolution	Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems
Neuroevolution	Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution Trace-Elites: better Quality-Diversity with Multi-Point Descriptors The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks
NID	Population Diversity, Information Theory and Genetic Improvement
NK-landscapes	LON/D — Sub-problem Landscapes in Multi-objective Decomposition
Non-cryptographic hash function	Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming
nonlinearity	A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
Normalised Compression Distance	Population Diversity, Information Theory and Genetic Improvement
Normalised Information Distance	Population Diversity, Information Theory and Genetic Improvement
NP-hard	The Traveling Tournament Problem: Valid Solutions are Very Different The Traveling Tournament Problem: Constraint Violations for Different MaxStreak Values
NSGA-II	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art
NSGA-III	Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art
Numerical Optimization	Adjacent Distance Matrix-based Competitive Swarm Optimizer
Nutritional Decision-Making Tools	Optimizing Dietary Plans Using Evolutionary Algorithms
O
Obesity	Estimation of total body fat using symbolic regression and evolutionary algorithms.
Object Detection	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
odd dimension	A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
Oil painting diffusion	All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference
Onset Detection	Exploiting the Temporal Order of Sound Features for Onset Detection
opacity	Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
OpenAI	Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Openness in Music Creation	AI as Co-Creator: Reimagining Musical Authorship and Interaction in Human-AI Music Composition
Optimization	Optimizing Camera Placement for Chicken Farm Monitoring Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Oven scheduling problem	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
Overlapping Swarm Intelligence	Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
P
Parameter estimation	Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
parameter search landscape	gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Partial Matching	Music Similarity Through Geometric Overlap
Particle Swarm Optimization	Geometric Particle Swarm Optimization in Program Trace Optimization Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems An Investigation of Structural Bias in Particle Swarm Optimization A Survey of Modern Hybrid Particle Swarm Optimization Algorithms A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
Path planning	Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
Pattern Matching	Music Similarity Through Geometric Overlap
PBIL	Mixed-Binary Problems Optimized with Fast Discrete Solver
Peptide Generation	A Symbolic Regression Screening Approach within Peptide Optimisation
Perception	Perceptions of AI in Animation Production
Personalized Diet Planning	Optimizing Dietary Plans Using Evolutionary Algorithms
Photovoltaics	A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems
Plateaudness	The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
Policy search	Trace-Elites: better Quality-Diversity with Multi-Point Descriptors
Polycomputing	Scalable Evolution of Logically Independent Polycomputational Materials
Portfolio Construction	Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
Portfolio Optimization	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Poster	Towards the Automatic Evaluation of Legibility for Graphic Design Posters
Precision agriculture	An innovative approach for managing the water requirements of fig trees using artificial intelligence
Predictive abstraction	All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference
Price-and-branch heuristic	Price-and-branch Heuristic for Vector Bin Packing
Probing	Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Problem modality	Using Local Correlation Between Objectives to Detect Problem Modality
programming language	Image classification by evolving bytecode
Prompt engineering	Search-based Negative Prompt Optimisation for Text-to-Image Generation
Proof Theory	Foundations of LLCM: Labelled Lambek Calculus for Music Analysis
Pseudo-Boolean Functions	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning
pseudo-optima	Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
PSO	Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
Q
Quadratic unconstrained binary optimization	Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems
quality diversity	Optimizing Camera Placement for Chicken Farm Monitoring A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning
Quality-Diversity	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks
R
Radiotherapy	Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
Ramp-up workload	Testing Self-Organized Load Balancing in Distributed Systems
Recurrent Neural Networks	Exploiting the Temporal Order of Sound Features for Onset Detection Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
Regression	GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction
Regularization	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning
Reinforcement Learning	Social Interpretable Reinforcement Learning On the Effectiveness of Crossover Operators in Cartesian Genetic Programming
Relocation rule	Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming
Risk-Budgeting	An Automated Financial Management System for Risk Budgeting Portfolio Optimization
Risk/benefit analysis	Multi-objective particle swarm optimization for environmental risk/benefit analysis
Role based access control	Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining
Rule-Free Composition	Statistical-Mechanical Approach to Music: A Nature-Inspired Model for Rule-Free Composition
Runtime analysis	Evolutionary Anytime Algorithms
S
Sandpile	Testing Self-Organized Load Balancing in Distributed Systems
SBSE	gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes
Scheduling	Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
Search Space	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning
Search space partitioning	Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem
Search Trajectory Networks	Stalling in Space: Attractor Analysis for any Algorithm The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks
selection	Population Diversity, Information Theory and Genetic Improvement
self-adaptation	Climbing the tower of meta-mutations - the role of higher-order mutations
Self-organized criticality	Testing Self-Organized Load Balancing in Distributed Systems
Semi-supervised learning	Generate more than one child in your co-evolutionary semi-supervised learning GAN
Sentence similarity	Search-based Negative Prompt Optimisation for Text-to-Image Generation
Sentiment analysis	Differential Evolution for Optimizing Ensemble Weights in Multiclass Sentiment Classification
Signal Processing	An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
Sim2Real	Greater AI Design Control Aids Evolution of Computational Materials
Similarity	Music Similarity Through Geometric Overlap
Simulated annealing	A Selective Vehicle Routing Problem for the Bloodmobile System Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
Simulation	Adaptive Local Search for Real-World Multi-Echelon Inventory Control
single-track railway	A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
Skin cancer	Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification
SLIM	Introducing Crossover in SLIM-GSGP
Social Learning	Social Interpretable Reinforcement Learning
soft computing	Using SHAP to visualize Pre-Match Outcome Prediction in Dota 2
Sports Nutrition Algorithms	Optimizing Dietary Plans Using Evolutionary Algorithms
SSL-GAN	Generate more than one child in your co-evolutionary semi-supervised learning GAN
stable diffusion	Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
Steering AI	Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
Stepping Stones	The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks
Stock Forecasting	Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
Stock Returns Prediction	Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
Stock Selection	Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
story generation	Future Sight: Fine-tuning Language Models for Dynamic Story Generation
Structural Kinetic Models	Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
StyleGAN2	Generating Virtual Landscapes and Environmental Narratives with StyleGAN2
Supply Chain Management	Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Survey	AI in Music and Healthcare: A Comparative Survey
Survival strategies	Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining
Sustainable Computing	Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms
Swarm Behaviour	Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone
Swarm Intelligence	Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems
swarm robotics	Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport
Symbolic Regression	Estimation of total body fat using symbolic regression and evolutionary algorithms. Exploring the Integration of Cellular Structures in Genetic Programming-based Methods A Symbolic Regression Screening Approach within Peptide Optimisation Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection Unified Piecewise Symbolic Regression
synesthesia	Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT
T
Talent Management	Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
taste	Aesthetic biases and opacity tactics in the training of visual artificial intelligence models
test set diameter	Population Diversity, Information Theory and Genetic Improvement
text infilling	Future Sight: Fine-tuning Language Models for Dynamic Story Generation
TF-IDF	Effect of Fitness Values Weighting on Clustering of Single-Objective Fitness Landscapes
Time delay system	Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Time Series Analysis	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Time Series Forecasting	Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
time travel	We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
Time-Series Prediction	Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
Timeline-based architectures	All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference
TODIM	An Automated Financial Management System for Risk Budgeting Portfolio Optimization
Tonal Tension	Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features
tonnetz	Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT
Tournament Selection	Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
Trading Rules	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
train scheduling	A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
Transfer learning	GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction
Transformer Models	Evolutionary Bias Identification with Embeddings
Transformers	Towards Human-Quality Music Accompaniment using Deep Generative Models and Transformers Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Traveling salesman problem	Adaptive neighborhood search based on landscape learning: a TSP study
Travelling salesman problem	Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm
TTP	The Traveling Tournament Problem: Valid Solutions are Very Different The Traveling Tournament Problem: Constraint Violations for Different MaxStreak Values
Twitter corpus	Differential Evolution for Optimizing Ensemble Weights in Multiclass Sentiment Classification
Two Level P Median Location Problem	Healthcare Facility Location Problem and Fitness Landscape Analysis
U
Unbalanced data	Differential Evolution for Optimizing Ensemble Weights in Multiclass Sentiment Classification
Uncertain duration	Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics
Underlying objectives	Robust search for the underlying objectives in black-box games with binary outcomes
User Interaction	Real Application Challenges in Evolutionary Optimization? People!
V
variable importance	Into the Black Box: Mining Variable Importance with XAI
Variable neighborhood search	Adaptive neighborhood search based on landscape learning: a TSP study
Variable-Size Genetic Network Programming	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Vector bin packing	Price-and-branch Heuristic for Vector Bin Packing
Video Games	The Importance of Context in Image Generation: A Case Study for Video Game Sprites
video interestingness	Short video interestingness: a machine learning approach to determine creative cues in audiovisual production
Video surveillance	Multi-Modal Fusion Techniques for Detecting Abnormal Events in Videos
videogames	Using SHAP to visualize Pre-Match Outcome Prediction in Dota 2
virtual machine	Image classification by evolving bytecode
Visualization	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning
W
Weight Sharing	Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
X
XAI	Into the Black Box: Mining Variable Importance with XAI

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