Long Talks
- Bruno Gašperov, Marko Đurasević and Domagoj Jakobović Finding Near-Optimal Portfolios With Quality-Diversity
- Julien Biau, Sylvain Cussat-Blanc and Hervé Luga Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Power
- Erdi Sayar, Vladislav Vintaykin, Giovanni Iacca and Alois Knoll Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation
- Didrik Spanne Reilstad and Kai Olav Ellefsen Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution
- Riccardo Lunelli and Giovanni Iacca Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight
- Sarah Degaugue, Nicolas Durand and Jean-Baptiste Gotteland Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution
- Davide Farinati and Leonardo Vanneschi GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks
- Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut and Clément Moulin-Frier Evolving Reservoirs for Meta Reinforcement Learning
- Atanu Mazumdar and Ville Kyrki Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control
- Gabriel Cortês, Nuno Lourenço and Penousal Machado Towards Physical Plausibility in Neuroevolution Systems
- Marshall Joseph and Brian Ross Using Evolution and Deep Learning to Generate Diverse Intelligent Agents
- Quentin Renau and Emma Hart On the Utility of Probing Trajectories for Algorithm-Selection
- Ashish Lakhmani, Ruppa Thulasiram and Parimala Thulasiraman Nature-inspired Portfolio Diversification using Ant Brood Clustering
- Bruno Gašperov, Marko Đurasević and Domagoj Jakobovic Leveraging More of Biology in Evolutionary Reinforcement Learning
- Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Singh, Tobias Rodemann and Markus Olhofer A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour
- Romain Michelucci, Vincent Callegari, Jean-Paul Comet and Denis Pallez Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks
- Lea Musiolek, David Bierbach, Nils Weimar, Myriam Hamon, Jens Krause and Verena V. Hafner Evolving Artificial Neural Networks for Simulating and Analyzing Fish Social Interactions
- Luke de Jeu and Anil Yaman Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem
- Tiziana D’Alessandro, Claudio De Stefano, Francesco Fontanella and Emanuele Nardone Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study
- Emilio Bernal-Zubieta, Jesús Guillermo Falcón-Cardona and Jorge M. Cruz-Duarte DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm
- Johannes J. Pienaar, Anna S. Bosman and Katherine M. Malan Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling
- Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf and Mengjie Zhang Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach
- Cosijopii Garcia-Garcia, Alicia Morales-Reyes and Hugo Jair Escalante Progressive Self-Supervised Multi-Objective NAS for Image Classification
- Carlos Cotta and Jose Gallardo Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
- Michail Antisthenis Tsompanas Incremental growth on CPPN based optimization of biohybrid actuators.
- Qinyu Wang, Ying Bi, Bing Xue and Mengjie Zhang Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data
- Diego Daniel Pedroza-Perez, Jamal Toutouh and Gabriel Luque Optimizing Urban Infrastructure for E-Scooter Mobility
- Yumnah Hasan, Allan de Lima, Fatemeh Amerehi, Darian Reyes Fernandez de Bulnes, Patrick Healy and Conor Ryan Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
- Conor Spann, Evelyne Lutton, Francois Boue and Franck Vidal 3D Motion Analysis in MRI using a Multi-objective Evolutionary k-means Clustering
- Andrejaana Andova, Jordan Cork, Aljoša Vodopija, Tea Tušar and Bogdan Filipič Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack
- Ashley Mann, Mahir Arzoky and Stephen Swift Applying Graph Partitioning-Based Seeding Strategies to Software modularisation
- Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam and Mohammed El-Abd A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
- Vincenzo Gulisano and Eric Medvet Evolutionary Computation meets Stream Processing
- Oliver L. Preuß, Jeroen Rook and Heike Trautmann On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
- Pavel Krömer, Vojtech Uher, Tea Tušar and Bogdan Filipic On the Latent Structure of the bbob-biobj Test Suite
- Aidan Walden and Maxim Buzdalov A Simple Statistical Test Against Origin-Biased~Metaheuristics
Short Talks
- Zakaria Abdelmoiz Dahi, Francisco Chicano and Gabriel Jesús Luque Polo An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation
- Tyler Cowan and Brian Ross Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains
- Zhilei Zhou, Nur Zincir-Heywood and Malcolm Heywood Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks
- Neil Urquhart and Kelly Hunter Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language.
- Tinkle Chugh and Alexander Evans Integrating Bayesian and Evolutionary Multi-objective Optimisation
- Luana Clare, Alexandra Marques and João Correia A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks
- Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid and Lhasssane Idoumghar Robust Neural Architecture Search using Differential Evolution for Medical Images
- Kirsty Montague, Emma Hart and Ben Paechter A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control
- Amani Sagri, Tristan Cazenave, Jérôme Arjonilla and Abdallah Saffidine Vision Transformers for Computer Go
- Jens Weise and Sanaz Mostaghim Finding sets of solutions for temporal uncertain problems
- Jill Baumann and Oliver Kramer Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
- Gustavo Delazeri and Marcus Ritt Iterated Beam Search for Wildland Fire Suppression
- Harsh Bandhey, Sphia Sadek, Malek Kamoun and Ryan Urbanowicz Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification
- Claude Carlet, Marko Đurasević, Bruno Gašperov, Domagoj Jakobovic, Luca Mariot and Stjepan Picek A New Angle: On Evolving Rotation Symmetric Boolean Functions
- David Pätzel, Richard Nordsieck and Jörg Hähner Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners