Accepted Papers | GECCO 2026

The review process is now complete: 84 contributions have been accepted as workshop papers and posters. They will be published in the Companion Volume (and hence in the Digital Library) and presented during the workshop sessions of the conference.
Search the list below by typing text in the column headers.
The Papers Submission Instructions are still available for your information.

List of Accepted Workshop Papers and Posters

Track	Title	Authors
WS - Student Workshop	Continuous Pareto Nested Rollout Policy Adaptation for Multiobjective Sequential Optimization	Nathan Amoussou (Université Côte d'Azur, I3S), Denis Pallez (Université Côte d'Azur, I3S)
WS - Student Workshop	DoSurrogate Ensembles Help Under Tight Budgets? AStudent Study in Expensive Multi-Objective Optimization	Danqi Deng (Guangzhou College of Commerce, Modern Information Industry College of Guangzhou College of Commerce), Chang Guo (City University of Macau)
IAM 2026	Automatic Configuration of Genetic Algorithm Parameters for Load Shifting of Household Appliances Through Iterated Racing	José Almeida (Polytechnic of Porto), João Soares (Polytechnic of Porto), Bruno Mota (Polytechnic of Porto), Fernando Lezama (Polytechnic of Porto), Luis Gomes (Polytechnic of Porto), Carlos Ramos (Polytechnic of Porto), Zita Vale (Polytechnic of Porto)
IAM 2026	Hybrid Adaptive Differential Evolution for Virtual Power Plant Participation in Demand Response Programs	Ricardo Faia (Polytechnic of Porto), Fernando Lezama (Polytechnic of Porto), Pedro Faria (Polytechnic of Porto), Zita Vale (Polytechnic of Porto)
IWERL	Audience-Customized Translation of Rule-Based Evidence with Large Language Models Across Multiplexer Benchmarks	Harsh Bandhey (Cedars Sinai Health Sciences University), Gabriel Lipschutz-Villa (University of Pennsylvania), Khoi Dinh (University of Pennsylvania), Malek Kamoun (University of Pennsylvania), Ryan J. Urbanowicz (Cedars Sinai Health Sciences University)
ECADA 2026	Local Search Hyper-heuristics For Neural Architecture Search	Johannes De Clercq (University of Pretoria), Nelishia Pillay (University of Pretoria)
QuantOpt	A Hybrid Classical-Quantum Annealing Algorithm for the TSP	Siwei Hu (Dipartimento di Informatica, Università di Roma “La Sapienza”), Victor Lopata (Dipartimento di Informatica, Università di Roma “La Sapienza”), Salvatore Sinno (Advanced Research & Innovation Group, Unisys, School of Computing, Newcastle University), Shruthi Thuravakkath (Advanced Research & Innovation Group, Unisys), Paolo Zuliani (Dipartimento di Informatica, Università di Roma “La Sapienza”)
SAEOpt	Optimizing Unrelated Parallel Machine Scheduling with Non-Resumable Maintenance via Surrogate Models and Exact Dynamic Programming	Fatima Iken (IRIMAS, Université de Haute-Alsace), Abdennour Azerine (IRIMAS, Université de Haute-Alsace), Mahmoud Golabi (IRIMAS, Université de Haute-Alsace), Lhassane Idoumghar (IRIMAS, Université de Haute-Alsace)
SAEOpt	SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering	Maciej Krzywda (AGH University of Science and Technology), Szymon Łukasik (AGH University of Krakow), Amir Hossein Gandomi (University of Technology Sydney)
WS - Student Workshop	Evolutionary Algorithm For Reservoir Learning And Yielding	Julien Testu (LaBRI, Bordeaux University, Bordeaux INP, CNRS UMR 5800, France, Inria Center of the University of Bordeaux, France), Pierrick Legrand (Bordeaux INP, ENSC, F-33400 Talence, France, Inria Center of the University of Bordeaux, France), Xavier Hinaut (Inria Center of the University of Bordeaux, France, LaBRI, Bordeaux University, Bordeaux INP, CNRS UMR 5800, France)
LAAoO+AI	Peeling Back the Pixels: Stabilizing Latent Diffusion for Data-Efficient Generation of Pineapple Fields	Manfred Gonzalez Hernandez (Ghent University), Danny Xie-Li (Instituto Tecnológico de Costa Rica), Fabian Fallas-Moya (Universidad de Costa Rica), Sebastian Rojas Gonzalez (University of Gent), Ivo Couckuyt (University of Gent)
EvoOSS	Ride-Sharing Simulation for Optimisation	Bernhard J. Berger (Hamburg University of Technology), Christina Plump (University of Bremen, DFKI GmbH - Cyber-Physical Systems), Rolf Drechsler (University of Bremen, DFKI GmbH - Cyber-Physical Systems)
IWERL	A high-performance ACS2 based on vectorization and GPU	Olgierd Unold (Wroclaw University of Science and Technology)
QuantOpt	Quantum Optimized Crossover for the Travelling Salesman and Minimization of Makespan with Setup Times	Anton V. Eremeev (Novosibirsk State University, Dostoevsky Omsk State University), Yulia V. Zakharova (Sobolev Institute of Mathematics, Novosibirsk State University)
QuantOpt	A Geometric Analysis of Rotation Direction Strategies in Quantum-Inspired Evolutionary Algorithms	Ethan Padden (University of Galway), Colm O'Riordan (University of Galway)
GGP	Improving Evaluation of Recombination-based Cartesian Genetic Programming	Duy Long Tran (RWTH Aachen University), Anja Jankovic (RWTH Aachen University), Marie Anastacio (RWTH Aachen University), Holger Hoos (RWTH Aachen University), Roman Kalkreuth (RWTH Aachen University)
WS - Student Workshop	Penalty Sensitivity in Quantum Optimisation Across Computational Paradigms: A Benchmark Study	Jiajie Liu (University of Exeter), Alberto Moraglio (University of Exeter)
LLMfwEC	Could LLMs Predict Algorithm Performance in Automated Design of Metaheuristics?	Michal Pluhacek (AGH University of Krakow), Pawel Kolendo (AGH University of Krakow), Krzysztof Tylka-Suleja (AGH University of Krakow), Adam Viktorin (Tomas Bata University in Zlín)
WS - Student Workshop	Bio-Inspired Multi-Objective Batch Active Learning for Skin Lesion Classification	Nancy Kalaj (University of Trento), Matteo Bando (University of Trento), Šimon Rokůsek (University of Trento), Ludovico Cappellato (University of Trento), Erik Nielsen (University of Trento), Stefano Genetti (University of Trento), Giovanni Iacca (University of Trento)
EvoOSS	Web Meta-ERM: An Application to Compare Optimization Algorithms in Smart Grid Environments	Fernando Lezama (Polytechnic of Porto), José Almeida (Polytechnic of Porto), Rafael Barbarroxa (Polytechnic of Porto), Luis Gomes (Polytechnic of Porto), João Soares (Polytechnic of Porto), Zita Vale (Polytechnic of Porto)
MDDOL	XSS Feature Online Evolution: An Intrusion Detection Method Based on Multi-Model Database and IGA	Xin Tong (National University of Defense Technology), Bo Wu (Information Support Force Engineering University)
IAM 2026	Performance Comparison of Local Searches based on N-neighborhoods for the Job Shop Scheduling Problem	Yuki Aoyama (Okayama University of Science), Kengo Katayama (Okayama University of Science)
LAAoO+AI	CMA-ES Decoding Optimization for MedGemma: A Flat Landscape on Chest X-Ray Reports	Michael Chen-Wang (Instituto Tecnológico de Costa Rica), Miguel Abreu-Cardenas (Instituto Tecnológico de Costa Rica), Saul Calderon-Ramirez (Instituto Tecnológico de Costa Rica)
EvoSelf	Self-Evolving Graph Neural Network Design Inspired by Neural Cellular Automata	Maciej Krzywda (AGH University of Science and Technology), Mariusz Wermiński (AGH University of Krakow), Szymon Łukasik (AGH University of Krakow), Amir Hossein Gandomi (University of Technology Sydney)
GGP	Grammar-Based Subexpression Reuse in Grammatical Evolution	Jose Manuel Velasco (Universidad Complutense, Bioinspired Intelligence S.L.), Daniel Parra (Complutense University of Madrid), Oscar Garnica (Complutense University of Madrid, Bioinspired Intelligence S.L.), J. Ignacio Hidalgo (Complutense University of Madrid, Bioinspired Intelligence S.L.)
EvoSelf	Symbiogenesis: from Barricelli’s Legacy to Collective Intelligence	James Ashford (Genomics Ltd.), Berfin Sakallioglu (University of Trieste), Marta Tataryn (University of Copenhagen), Alessandro Valerio (Gran Sasso Science Institute), Benedikt Hartl (Allen Discovery Center at Tufts University), Léo Pio-Lopez (Allen Discovery Center at Tufts University), Marko Cvjetko (Inria Center at the University of Bordeaux), Richard J.G. Löffler (Globe Institute, University of Copenhagen), Stefano Nichele (Østfold University of Applied Sciences)
GGP	An Initial Investigation on the Generation of Logic Gate Networks using Cartesian Genetic Programming	Francesco Lubrano (LINKS Foundation), Emanuel Messetti (Independent Researcher), Alberto Scionti (LINKS Foundation), Giovanni Squillero (Politecnico di Torino), Alberto Paolo Tonda (INRAE, Applied Mathematics and Computer Science Lab, Université Paris-Saclay)
IAM 2026	Multiple Objectives for UAVs Paths Optimization for a Disaster Area Reconnaissance	Szymon Stachura (Cardinal Stefan Wyszyński University in Warsaw), Jakub Grzeszczak (Cardinal Stefan Wyszyński University in Warsaw), Artur Mikitiuk (Cardinal Stefan Wyszyński University in Warsaw), Krzysztof Trojanowski (Cardinal Stefan Wyszyński University in Warsaw)
LLMfwEC	LLM-generated CUDA-based Flow Shop Scheduling Optimizer	Donald Davendra (Central Washington University), Magdalena Metlicka (URC Systems, s.r.o.)
LLMfwEC	Can LLM's Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities	Mark Connor (University College Dublin)
LLMfwEC	Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution	Shengming Sun (Xi'an Jiaotong University, School of Mathematics and Statistics,), Jialong Shi (Xi'an Jiaotong University, School of Mathematics and Statistics,)
AABOH	Composition Determines Diversity: Fingerprints and the Strict/Lax Dichotomy in Genetic Algorithms	Robin Langer (Universite Paris Est - Marne la Vallee), Claudius Turing (Autonomous AI Researcher), Lyra Vega (Autonomous AI Researcher)
WS - Student Workshop	Hybridizing Genetic Algorithms with Pareto Local Search for Multi-Objective Rule Learning	Evgueni Blanquart (Université de Lille), Laetitia Jourdan (Université de Lille), Nadarajen Veerapen (Université de Lille)
LLMfwEC	TAPE-JB: Trait-Aligned Prompt Evolution for Jailbreaking Large Language Models	Karolina Seweryn (NASK National Research Institute), Anna Wróblewska (Warsaw University of Technology), Szymon Łukasik (AGH University of Krakow, NASK National Research Institute)
LLMfwEC	CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models	Thomas Bömer (Karlsruhe Institute of Technology), Bastian Amberg (Karlsruhe Institute of Technology), Max Disselnmeyer (Karlsruhe Institute of Technology), Anne Meyer (Karlsruhe Institute of Technology)
DTEO	A Decomposition-based Micro-GA Local Search for Bi-Objective Codebook Design	Rafael Solar-Hernández (Instituto Nacional de Astrofísica, Óptica y Electrónica), Luis Fernando Rosas-Ordaz (Instituto Nacional de Astrofísica, Óptica y Electrónica), Saúl Zapotecas-Martínez (Instituto Nacional de Astrofísica, Óptica y Electrónica), Leopoldo Altamirano-Robles (Instituto Nacional de Astrofísica, Óptica y Electrónica), Raquel Díaz-Hernández (Instituto Nacional de Astrofísica, Óptica y Electrónica), Alejandro Rosales-Pérez (Centro de Investigación en Matemáticas)
IWERL	Exploring Multi-objective Approaches for Rule Generation in Rule-based Machine Learning	David von Proeck (Universität Augsburg), Jonathan Wurth (Universität Augsburg), Jörg Hähner (Universität Augsburg), Michael Heider (Universität Augsburg)
WS - Student Workshop	A Framework for Comparing SATB Harmonization Approaches	Elia Pacioni (HES-SO, University of Extremadura), Francisco Fernández de Vega (Universidad de Extremadura)
ECXAI	Random Symbolic Boosting for Interpretable Image Segmentation	José R. Ortega (Instituto Tecnologico de Tijuana), Leonardo Trujillo (Instituto Tecnologico de Tijuana)
EvoOSS	Enhancing Surrogate Model Usability for Optimisation Experts through Extended ML Support in EvoAl	Nils Leusmann (University of Bremen, Data Science Center Bremen), Christina Plump (University of Bremen, Deutsches Forschungszentrum für Künstliche Intelligenz), Bernhard J. Berger (Hamburg University of Technology), Rolf Drechsler (University of Bremen, Deutsches Forschungszentrum für Künstliche Intelligenz)
EvoSelf	Activity-Dependent Plasticity in Morphogenetically-Grown Recurrent Networks	Sergii Medvid (National University of Kyiv-Mohyla Academy), Andrii Valenia (National University of Kyiv-Mohyla Academy), Mykola Glybovets (National University of Kyiv-Mohyla Academy)
ProSyn	Diagnosing Problems with the Code Building Genetic Programming Representation	Edward Pantridge (Vi), Thomas Helmuth (Hamilton College)
SAEOpt	Surrogate-Assisted Linear Genetic Programming for Evolving Graph Neural Networks for Node Classification	Maciej Krzywda (AGH University of Krakow), Szymon Łukasik (AGH University of Krakow), Amir Hossein Gandomi (University of Technology Sydney)
LLMfwEC	Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights	Vadim Akhmerov (ITMO University), Dmitry Gilemkhanov (ITMO University), Jerzy Kamiński (ITMO University), Ivan Dubrovsky (ITMO University), Maria Zaitseva (ITMO University), Dmitrii Kuznechenko (ITMO University), Egor Rozhdestvenskiy (ITMO University), Danil Fedorov (ITMO University), Ilia Revin (ITMO University), Vadim A. Potemkin (ITMO University), Ravil Mussabayev (Satbayev University), Alexander Boukhanovsky (ITMO University), Anna V. Kalyuzhnaya (ITMO University), Andrey Savchenko (Sber AI Lab), Nikolay O. Nikitin (ITMO University)
LLMfwEC	QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration	Ariq Koh (Nanyang Technological University), Melvin Wong (Nanyang Technological University), Jiao Liu (Nanyang Technological University), Caishun Chen (Centre for Frontier AI Research, Agency for Science, Technology and Research), Thiago Rios (Honda Research Institute Europe), Stefan Menzel (Honda Research Institute Europe), Yew Soon Ong (Nanyang Technological University)
IAM 2026	A Quantum-Inspired Evolutionary Algorithm for Multi-manned Battery Disassembly Line Balancing	Lina Laouzai (INSA Lyon), Taha Arbaoui (INSA Lyon)
IWERL	Machine Learning for Credit Approval: Enhancing Decision Accuracy and Explainability	Mohamed Azhar Ahamed (Wellington Institute of Technology), Abubakar Siddique (Auckland University of Technology), Trung Nguyen (Auckland University of Technology), Muhammad Iqbal (Higher Colleges of Technology), Will N. Browne (Queensland University of Technology)
MDDOL	RE-MMNAS: LLM Reasoning-Guided Evolutionary Architecture Search for Multi-Modal Feature Fusion	Haowen Xiao (South China University of Technology), Xueming Yan (School of Information Science and Technology, Guangdong University of Foreign Studies), Yue Xie (Department of Computer Science, Loughborough University), Han Huang (School of Software Engineering, Sun Yat-sen University)
IWERL	On the Implementation of Tournament Selection in XCS	Pier Luca Lanzi (Politecnico di Milano)
IAM 2026	Energy-Constrained Electric Vehicle Fleet Routing with Charging Station Insertion Using Metaheuristic Optimization	Khaled Bouhadef (University of Mustapha Stambouli), José Almeida (Polytechnic of Porto), João Soares (Polytechnic of Porto), Djamel Chaouch (University of Mustapha Stambouli), Ahmed Larbaoui (University of Mustapha Stambouli), Hocine Azzeddine (University of Mustapha Stambouli), Sérgio Ramos (Polytechnic of Porto)
ECADA 2026	Genetic Programming for Automated Design of Problem-specific Scaling Factor Adaptation Strategies for Differential Evolution	Vladimir Stanovov (Reshetnev Siberian State University of Science and Technology, Siberian Federal University)
ECXAI	BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees	Catalina M. Jaramillo (New York University), M. Charity (University of Richmond), Julian Togelius (New York University)
WS - Student Workshop	Inexact Sorting in the USGS Operator for the Bi-Objective Minimum Spanning Tree Problem	Fabian Fudali (University of Paderborn), Urban Skvorc (University of Paderborn), Christian Grimme (University of Münster), Jakob Bossek (University of Paderborn)
IAM 2026	Vibroseis Vehicle Routing Problem with Spatio-Temporal Coupled Constraints	Kexin Zhu (Xi'an Jiaotong University), Jialong Shi (Xi'an Jiaotong University), Jianyong Sun (Xi'an Jiaotong University), Mingen Kuang (Xi'an Jiaotong University), Ye Fan (Northwestern Polytechnical University)
AABOH	Beyond Final Fitness: Lagged Behavioural Diagnostics for Analysing Optimisation Heuristics	Rohit Salgotra (AGH University of Krakow, University of Technology Sydney)
IWERL	Clustering-Guided Knowledge Base for Multi-Objective Rule Mining on Imbalanced Datasets	Raymonde Akiki (Univ. Lille, Saint Joseph University of Beirut), Chantal Saad Hajjar (Saint Joseph University of Beirut), Maroun Chamoun (Saint Joseph University of Beirut), Marie-Eléonore Kessaci (Univ. Lille), Julie Jacques (Univ. Lille)
ECADA 2026	LLM-Driven Configuration of Genetic Algorithms for Constraint-Rich Optimization Problems	Harishjitu Saseendran (The University of Rhode Island), Manbir Singh Sodhi (The University of Rhode Island), Resit Sendag (The University of Rhode Island)
DTEO	Study of Decomposition and Ants Allocation in Multi-Objective Partial Classification Rule Induction	Adel Abdelkader Mokadem (University Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL), Marie-Eléonore Kessaci (University Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL), Laetitia Jourdan (University Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL), Julie Jacques (University Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL)
IWERL	A Probabilistic L-System Inspired Designer for Neural Architecture Search: A Graph Neural Network Case Study on Node Classification	Maciej Krzywda (AGH University of Science and Technology), Szymon Łukasik (AGH University of Krakow), Amir Hossein Gandomi (University of Technology Sydney)
QuantOpt	QUBO Model for Energy Planning: Quantum-Enhanced Microgrid Optimization for Rural Electrification in Africa	Yousra Farhani (University of Copenhagen), Helarie Rose Medie Fah (University of Kwazulu Natal), Ahmed Samir (Cairo University), Marzuq Yussif Etsie Adam (University of Ghana), Kenedy Mwendwa Mulila (African Institute for Mathematical Sciences (AIMS)), Abdulmajid Osumanu (African Institute for Mathematical Sciences (AIMS) Ghana)
ECXAI	When Does Integrated Neuro-Symbolic Learning Help Clinical Tabular Diagnosis? An Evolutionary and Explainable AI Perspective	Pooja Verma (University of Jammu - Kathua Campus), Sourab Shastri (University of Jammu - Kathua Campus), Rohit Salgotra (AGH University of Krakow, University of Technology Sydney)
EvoOSS	iMOPSE: Open-source Research Environment for Single- and Multi-Objective NP-Hard Problems Optimization	Konrad Gmyrek (Wroclaw University of Science and Technology), Pawel B. Myszkowski (Wroclaw University of Science and Technology), Lukasz Olech (none), Adam Paliszek-Saładyga (Wroclaw University of Science and Technology)
ProSyn	Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis	Henrik Voigt (University of Jena), Michael Habeck (University of Jena), Joachim Giesen (University of Jena)
QuantOpt	A Comparative Benchmark of Ising Machines, MIP Solvers, and Evolutionary Algorithms for Permutation Optimisation	Kehinde Babaagba (Edinburgh Napier University)
LAAoO+AI	Evolutionary Optimization of Instruction-Tuned Large Language Model Inference Parameters for Spanish Text Simplification	Nelson Pérez-Rojas (Doctorado en Ciencias Naturales para el Desarrollo (DOCINADE), Instituto Tecnológico de Costa Rica, Universidad Nacional, Universidad Estatal a Distancia), Danny Xie-Li (Instituto Tecnológico de Costa Rica), Martín Solís (Instituto Tecnológico de Costa Rica), Saúl Calderón-Ramírez (Instituto Tecnológico de Costa Rica), Sebastián Rojas-Gónzalez (Ghent University - IMEC), Víctor Ortíz-Ruíz (Instituto Tecnológico de Costa Rica)
EvoSelf	Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding	Anushka Sharma (Banasthali Vidyapith)
QuantOpt	Comparing Qubit and Qudit Encoding for EV Charging and Trip Assignment Problems	Linus Ekstrøm (Honda Research Institute Europe), Hao Wang (Leiden Institute of Advanced Computer Science), Sebastian Schmitt (Honda Research Institute Europe)
IWERL	Recent Advances in Evolutionary Rule-Based Machine Learning (2024 to 2026)	Connor Schönberner (Kiel University), Hiroki Shiraishi (Hitachi, Ltd.), Fumito Uwano (Tokyo University of Agriculture and Technology), Michael Heider (Universität Augsburg)
WS - Student Workshop	Learning Terrain-Aware Edge Costs for Ant-Colony Route Planning via Genetic Programming	Asia Panizza (University of Trento), Davide Colosimo (University of Trento), Filippo Marcon (University of Trento), Erik Nielsen (University of Trento), Stefano Genetti (University of Trento), Giovanni Iacca (University of Trento)
ECXAI	Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data	Damy M.F. Ha (Leiden University Medical Center), Thalea Schlender (Leiden University Medical Center), Yvette van der Linden (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center)
LAAoO+AI	From Semantic Reasoning to Geometric Precision: Optimizing Multimodal Foundation Models via Custom Prompting and Parameter-Efficient Fine-Tuning for Crop Counting	Fabian Fallas-Moya (Universidad de Costa Rica), Danny Xie-Li (Instituto Tecnológico de Costa Rica), Nixon Agüero-Elizondo (Universidad de Costa Rica)
SAEOpt	Recent J. Paper: Energy-Aware Metaheuristics with ML Surrogates	Tomohiro Harada (Saitama University), Enrique Alba (University of Malaga), Gabriel Luque (University of Malaga)
ECXAI	Explainability-Aware Evaluation of Deep Models for Facial Emotion Recognition	Tobias Rocha (Federal University of Technology), João Vitor Bezerra (Federal University of Technology), Maria Fernanda Oliveira de Figueiredo (Federal University of Technology), Ana Carolina Ataya (State University of Ponta Grossa), Myriam Delgado (Federal University of Technology), César Augusto Tacla (Federal University of Technology), Rita Silva Julia (Federal University of Uberlândia), Marcella Scoczynski Ribeiro Martins (Federal University of Technology)
EvoOSS	GNBG-III: A Property-Aware Benchmark Suite for Diagnosing Continuous Black-Box Optimizers	Rohit H. Salgotra (AGH University of Krakow, University of Technology Sydney), Kalyanmoy Deb (Michigan State University), Amir H. Gandomi (University of Technology Sydney)
AABOH	Behavioral Investigation on Stagnation Handling in Composite Differential Evolution for Constrained Optimization Problems	Aum Durgesh Jhala (Raffles Institution), Anupam Trivedi (National University of Singapore)
IAM 2026	Solving a Real-World Integrated Production–Distribution Scheduling Problem with a GRASP	Giulia Dotti (University of Modena and Reggio Emilia), Manuel Iori (University of Modena and Reggio Emilia), Francesco Mercalli (University of Modena and Reggio Emilia), Alberto Locatelli (University of Modena and Reggio Emilia)
MDDOL	AlphaEvolve inspired Discoveries	Dongbin Zhao (Institute of Automation, Chinese Academy of Sciences)
IAM 2026	Metaheuristics For The Mixed No-idle Flowshop Scheduling Problem With Due Windows	Luan Millard Corrêa Brasil (Federal University of Viçosa), José Elias Claudio Arroyo (Federal University of Viçosa), Tarcísio Barroso Marques (Federal University of Viçosa)
LLMfwEC	EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions	Johana Chen (Leiden University), Niki van Stein (Leiden University), Robert Cabri (Dicabrio.com), Thomas Bäck (Leiden University), Anna V. Kononova (Leiden University)
LLMfwEC	Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution	Can Gurkan (Northwestern University), Forrest Stonedahl (Augustana College), Uri Wilensky (Northwestern University)
AABOH	Analyzing Flexible Search Distributions in Black-Box Optimization with Normalizing Flow-based Estimation of Distribution Algorithms	Sara Karami (Université Laval, IID/Mila), Christian Gagné (Université Laval, Canada-CIFAR AI Chair/IID/Mila)
WS - Student Workshop	Benchmarking Metaheuristics for Mixed-Integer Optimization	Thomas Lang (Universite Cote d'Azur), Denis Pallez (Université Côte d'Azur, CNRS)
ECXAI	Can Explainability Metrics Improve Genetic Programming? Lessons from 2048	Lauren Paul (Deutsches Forschungszentrum für Künstliche Intelligenz, University of Bremen), Christina Plump (University of Bremen, Deutsches Forschungszentrum für Künstliche Intelligenz), Bernhard J. Berger (Hamburg University of Technology), Rolf Drechsler (University of Bremen, Deutsches Forschungszentrum für Künstliche Intelligenz)
QuantOpt	Revisiting Crossover Effectiveness in Quantum Circuit Synthesis	Christoph Stein (Johannes Kepler University Linz), Stefan Klikovits (Johannes Kepler University Linz), Manuel Wimmer (Johannes Kepler University Linz)

Navigation and related functionality and content

Accepted Workshop Papers

List of Accepted Workshop Papers and Posters