EVOSTAR2026: EVOSTAR2026

A
Aamir, Janita	Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Abdelhadi, Abeer	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
Adak, Sumit	A Self-Adjusting Compact Genetic Algorithm
Affenzeller, Michael	Multi-Objective Evolution of Diffusion Model Prompt Embeddings using CLIP-IQA
Akbari, Sina	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
Al-Sahaf, Harith	Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
Aldhubiea, Hadil	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Allmendinger, Richard	Mapping artificial neural networks’ processing data in audiovisual artworks
Alvarez, Omar	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Amberg, Bastian	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Anderson, Neal	Quantum Latent Spaces for Symbolic Music Generation
Ang, Elijah	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Anthes, Philipp	Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP
Antunes, Carlos Henggeler	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Aquino Amorim, Yan	Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Arakawa, Masao	Novel Particle Swarm Optimization for High-Dimensional Problems
Aranguren, Itzel	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Aranha, Claus	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Arbelaez, Alejandro	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
Artur, João	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes
Artıktay, Güncel Gürsel	Music In The Age Of Artificial Intelligence: Meaning And Creativity From A Complex-Systems Perspective
Assar, Najam-Ul	Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA)
Atta, Soumen	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
B
B. Nair, Shivashankar	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Baioletti, Marco	Optimizing Tourist Trip Design for Urban Sustainability
Bakurov, Illya	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Bakurov, Illya	New Perspectives on Cartesian Genetic Programming: A Survey Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
Bandaru, Sunith	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Banzhaf, Wolfgang	New Perspectives on Cartesian Genetic Programming: A Survey Node Preservation and its Effect on Crossover in Cartesian Genetic Programming Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Bartz-Beielstein, Thomas	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Bashkova, Xeniya	On the impact of conditional distribution in discovered differential equation ensembles
Batista, Jorge	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Batista, João Eduardo	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
Beltram Tegolina, Vinicius	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Beltran, Luis A.	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Ben Said, Aymen	Data-driven Learning for the Nurse Scheduling Problem
Berghegger, Christina	Exploring CGP Fitness Landscapes with MCTS
Besozzi, Daniela	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Beuve, Nicolas	Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Bhandarkar, Abhay	Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Bhattacharaya, Joy	A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
Bidlo, Michal	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Breabăn, Mihaela-Elena	Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Briesch, Martin	On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis
Briman, Eyal	Algorithms for Collaborative Harmonization
Brisoux Devendeville, Laure	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
Bueno-Crespo, Andrés	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Buzelin Galery, Arthur	Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Bäck, Thomas	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties Benchmarking that Matters: Rethinking Benchmarking for Practical Impact From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Bömer, Thomas	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
C
C, Shunmuga Velayutham	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Calvaresi, Davide	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
Carlet, Claude	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Castejón-Soto, Francisco David	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Castelli, Mauro	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Cazzaniga, Paolo	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Cecere, Francesco	Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Cella, Carmine Emanuele	Segmentation-Free Sound Hybridization for Creative Outcomes
Ceron, Andrea	CLIP Prompt Optimization with Evolutionary-Driven LLMs
Chabchoub, Habib	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
Chandrasekara, Bagavathi	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Chen, Qi	Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression
Cheng, Qi	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
Chicano, Francisco	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Chigot, Estelle	Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Chowdhury, Muhammad E. H.	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Climent, Laura	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
Climent, Ricardo	Mapping artificial neural networks’ processing data in audiovisual artworks
Corcoran, Padraig	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
Cornei, Laura-Maria	Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Correale, Raffaele	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Correia, João	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes Exploring the impact of fairness-aware criteria in AutoML
Cotta, Carlos	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Coulibaly, Nouhoum	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Creangă, Claudiu Dan	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Cui, Henning	New Perspectives on Cartesian Genetic Programming: A Survey
Cussat-Blanc, Sylvain	A Comparative Study on Robustness in Evolved Image Classifiers Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP Exploring CGP Fitness Landscapes with MCTS
Custode, Leonardo Lucio	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control
D
D'Alessandro, Tiziana	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Damak, Chedli	Learning to Search: A Reinforcement Learning Agent for Global Optimization
Dardaillon, Mickaël	Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Dawson, Nana Amowee	Asɛmpayɛtsia: An Afrocentric Framework for Computational Creativity in Sound and Image
de Franca, Fabricio	Sinking the Bloat in Genetic Programming Using Equality Saturation
De La Torre, Camilo	A Comparative Study on Robustness in Evolved Image Classifiers
De La Torre, Camilo	Exploring CGP Fitness Landscapes with MCTS
De Stefano, Claudio	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Degaugue, Sarah	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
Derbel, Bilel	Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Desell, Travis	ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
Desnos, Karol	Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Dinu, Anca Daniela	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Disselnmeyer, Max	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Donnelly, Patrick	Probing for Advanced Music Theory Concepts in Generative Music Models Classifying Audio Timbre Without Audio Using Text-only Training Addressing Dataset Scarcity in Music Emotion Recognition with LLMs
Donà, Ivan	CLIP Prompt Optimization with Evolutionary-Driven LLMs
Dorise, Adrien	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Drozd, Aleksandr	EvoTADASHI: Genetic Programming for High-Performance Code Optimization
Dwivedi, Himanshu	Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models
E
Eiben, Agosten	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Elleuch, Mohamed Ali	Learning to Search: A Reinforcement Learning Agent for Global Optimization
Emmerich, Michael	Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Ene, Mihai-Lucian	Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization
Eraud, Florentin	Life Beings: Living Quantum Art
Escobedo, Adolfo	Heuristic Methods for Top-k List Aggregation under the Generalized Kendall Tau Distance
F
Fagiolo, Fabrizio	Optimizing Tourist Trip Design for Urban Sustainability
Farinati, Davide	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Fernandes, Matheus	Sinking the Bloat in Genetic Programming Using Equality Saturation
Fernández De Vega, Francisco	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
Ferreira, Pedro	Optimizing Transformers: Metaheuristics for Head Attention Pruning
Fetais, Noora	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Florescu, Andra-Maria	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Fontanella, Francesco	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Francesquini, Emilio	Sinking the Bloat in Genetic Programming Using Equality Saturation
Franchet, Camille	A Comparative Study on Robustness in Evolved Image Classifiers
Frappé-Vialatoux, Côme	Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Fritz, Karel	On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Fukuhara, So	Novel Particle Swarm Optimization for High-Dimensional Problems
G
Galvis-Chacon, Javier	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
García Riber, Adrián	Generative musical exploration of astronomical catalogs
García-Sánchez, Pablo	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Gaspar-Cunha, Antonio	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Gasparini, Francesca	Decoding Emotions: Multimodal integration of deep embeddings, lyrics and music-aware cues
Genetti, Stefano	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control
Glasmachers, Tobias	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Glover, Fred	The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
Goro, Ousmane	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Grazioso, Matteo	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Grimme, Britta	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Grégoire, Anthony	Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation
Guru Sai, Krishna Teja	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
Gurusamy, Jeyakumar	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Gérard, Olivier	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
H
Haddar, Boukthir	Learning to Search: A Reinforcement Learning Agent for Global Optimization Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
Halilovic, Amar	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
Hambly, Daniel	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
Harn, Po-Wei	Random Search Matches EA for MoE Topology
Haut, Nathaniel	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
He, Peixiong	Random Search Matches EA for MoE Topology
Heider, Michael	New Perspectives on Cartesian Genetic Programming: A Survey
Hellwig, Michael	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Hemberg, Erik	A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
Hennou, Kamal	Life Beings: Living Quantum Art
Heywood, Malcolm	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
Hidalgo, J. Ignacio	Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Hinrichs, Reem	A Dataset for Automatic Vocal Mode Classification
Hromadka, Timo	A Novel Diffusion Model based Approach for Sleep Music Generation
Hrvatić, Josip	Semantic Search Trajectory Networks for Understanding Genetic Programming
Huguenin, Manon	Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Hvatov, Alexander	On the impact of conditional distribution in discovered differential equation ensembles
Héleine, Paulin	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
I
Iacca, Giovanni	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks CLIP Prompt Optimization with Evolutionary-Driven LLMs Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
Iarochen, Wissal	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Ito, Keiichi	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Iurlano, Enrico	A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs
J
J.J.B. Santos, Frederico	NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Jadliwala, Murtuza	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Jakobovic, Domagoj	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Jamwal, Vikram	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
Jiménez Laredo, Juan Luis	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Jmal, Sirine	Synergistic Adaptive Tabu Search: Multi-Agent Learning with Shared Solution Patterns for the K-Traveling Repairman Problem
John, Taran Cyriac	Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
K
Kalkreuth, Roman	New Perspectives on Cartesian Genetic Programming: A Survey
Kaltenbach, Sebastian	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Karadayi Atas, Pinar	Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
Kelly, Stephen	Dynamic Vector and Matrix Memory for Tangled Program Graphs
Kilic, Renan Beran	Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks
Kiranyaz, Serkan	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Kirley, Michael	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
Klhufek, Jan	Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
Kocherovsky, Mark	New Perspectives on Cartesian Genetic Programming: A Survey Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
Koltermann, Nico	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Kononova, Anna V.	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Koumoutsakos, Petros	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Krey, Sebastian	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Kudela, Jakub	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Kurivella, Surendra	Gray-Box Enhanced Decomposition-based Local Search for Multi-Objective NK-Landscapes Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search
Kwan, Derek	Probing for Advanced Music Theory Concepts in Generative Music Models
L
Lacasse, Serge	Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation
Lall, Shruti	Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference
Lange, Alexander	A Dataset for Automatic Vocal Mode Classification
Lavinas, Yuri	Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP Exploring CGP Fitness Landscapes with MCTS
Leizerovich, Eyal	Algorithms for Collaborative Harmonization
Leventhal, Michael	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Lewis, Rhydian	Methods for Finding Paths of a Prescribed Length in Weighted Graphs
Lin, Shanxian	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Lioret, Alain	Life Beings: Living Quantum Art
Litvinov, Sergey	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Liu, Jiajie	Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Liu, Saining	Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
Loaiza Quintana, César David	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
Lobo Pappa, Gisele	Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Lorenzi, Alessandro	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Lucet, Corinne	Generation of Instances with Estimated Landscape Features for the Two Level p-Median Location Problem
Luga, Herve	A Comparative Study on Robustness in Evolved Image Classifiers
Lutton, Evelyne	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Ly, Ousmane	Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali
Lyu, Zimeng	Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
M
M Dhanalakshmy, Dhanya	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Machado, Penousal	FairGenes: An Evolutionary Approach for Bias Mitigation in Non-Binary Sensitive Attributes
Madupu, Sai Pranav	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
Mainolfi, Pasquale	Segmentation-Free Sound Hybridization for Creative Outcomes
Maiti, Anindya	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Majumder, Sanjay	Quantum Latent Spaces for Symbolic Music Generation
Mao, Shanshan	From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System
Mariot, Luca	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Marques, Tomás	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Martin-Saquet, Joao	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Martínez-Más, José	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Massobrio, Renzo	Evolutionary approach for sewer network design under the condominial model
Mathew, Jimson	A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Matsumura, Takeshi	Weather Sonification via a Latent Emotion Space: A Deep Learning Approach
McCabe, Peter	Classifying Audio Timbre Without Audio Using Text-only Training
McDermott, James	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
Medvet, Eric	Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured
Mei, Yi	Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
Meira Jr., Wagner	Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Melo, João	Multi-Objective Optimization and Decision Support for Conformal Cooling in Injection Molding
Mengshoel, Ole Jakob	TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization
Merelo, Jj	A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Mersmann, Olaf	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Meyer, Anne	Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Micheli, Enrico	Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control
Mihail, Andreiana	The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Miranda, Lucas	Sinking the Bloat in Genetic Programming Using Equality Saturation
Miras, Karine	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Mitran, Madalina-Andreea	Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization
Mongardi, Giorgio	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Monteiro, Kevin	A Novel Diffusion Model based Approach for Sleep Music Generation
Moradi, Behzad	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
Moraglio, Alberto	Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Mouhoub, Malek	Data-driven Learning for the Nurse Scheduling Problem
Mousavirad, Seyed Jalaleddin	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Mrazek, Vojtech	Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
Muff, Jed	Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Muller, Célien	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
Murali, Ritwik	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Muñoz, Mario André	Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
Muñoz Contreras, Jose Manuel	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
N
Nadizar, Giorgia	Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured
Nagata, Yuichi	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Nakahata, Guilherme	A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Nallaperuma-Herzberg, Sam	A Novel Diffusion Model based Approach for Sleep Music Generation
Naqvi, Ali	Dynamic Vector and Matrix Memory for Tangled Program Graphs
Nardone, Emanuele	Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Naujoks, Boris	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Navarro, Mario A.	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Nepras, David	Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
Nesmachnow, Sergio	Evolutionary approach for sewer network design under the condominial model
Nghi, Nguyen	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Nguyen, Tam	CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem
Nicolau, Miguel	Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Nielsen, Erik	Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
Nobile, Marco S.	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Novacco, Alessia	Decoding Emotions: Multimodal integration of deep embeddings, lyrics and music-aware cues
Nyathi, Thambo	PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization
O
O'Reilly, Unamay	A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
O'Riordan, Colm	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
Oberlin, Thomas	Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Ochoa, Gabriela	Gray-box Bi-Objective Boolean Optimization using Deterministic Recombination with Iterated Local Search Semantic Search Trajectory Networks for Understanding Genetic Programming
Olarte Rodriguez, Ivan	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Oliva, Diego	Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Olivier, Damien	Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Olsen, Bernt Moritz Schmid	A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
Ortiz-González, Ana	Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Ostermann, Jörn	A Dataset for Automatic Vocal Mode Classification
Ouberkouk, Mohamed-Amine	On vehicle routing problems with loading constraints
Oudani, Mustapha	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Oulamara, Ammar	Scheduling Electric Vehicle Charging to Minimize Total Tardiness On vehicle routing problems with loading constraints
Ouzineb, Mohamed	Scheduling Electric Vehicle Charging to Minimize Total Tardiness
P
Pacioni, Elia	FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
Palk, Michael	The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
Pallez, Denis	Expensive Evolutionary Computation: Where are we, and what’s next?
Panzoli, David	Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Papenmeier, Leonard	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Papetti, Daniele Maria	HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Parra, Daniel	Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Parrend, Pierre	Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Pereira, Sofia	Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness
Pham, Lam	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Picek, Stjepan	On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
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Pringle, Gavin	Weather Sonification via a Latent Emotion Space: A Deep Learning Approach
Pérez, Christian	Cost-Efficient Charging Station Deployment for Electric Bus Fleets
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Qin, Xiao	Random Search Matches EA for MoE Topology
Qiu, Yuxin	Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
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Raidl, Günther	A Denoising Diffusion Adaptive Search for the Alpha-Domination Problem on Social Graphs
Rajwar, Kanchan	PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization
Ramlan, Fitria Wulandari	Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
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Rossi, Emiliano	Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
Roy Chaudhuri, Subhrojyoti	LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search
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S, Thangavelu	A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
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Shelar, Onkar	ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
Shirakawa, Shinichi	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
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Smith, Robert	Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
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Son, Phan	End-to-End Song Structure Segmentation via Encoder–Decoder Network Architecture and Hand-Crafted Features
Spracklen, Joseph	Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Squillero, Giovanni	Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Stanovov, Vladimir	Comparison of parent and environmental selection schemes in genetic programming for symbolic regression
Stephan, Sonja	A Dataset for Automatic Vocal Mode Classification
Stewart, Lachlan	Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Suganthan, Ponnuthurai N.	Diabetic Foot Ulcer Severity Grading into Four Wagner–Meggitt Classes: Impact of Label Verification and Data Augmentation
Sun, Libo	Random Search Matches EA for MoE Topology
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Talmon, Nimrod	Algorithms for Collaborative Harmonization
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Tashfeen, Ahmad	Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
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Treillard, Stéphane	A Comparative Study on Robustness in Evolved Image Classifiers
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Vacher, Quentin	Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
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Xia, Wei	Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
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