Long talks
Social Interpretable Reinforcement Learning (EML joint track)
Leonardo Lucio Custode and Giovanni Iacca
Adjacent Distance Matrix-based Competitive Swarm Optimizer
Yang Cao, Rui Zhong, Jun Yu and Masaharu Munetomo
Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization
António Gaspar-Cunha, João Melo, Tomás Marques and António Pontes
Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization
Torjus Kallekleiv and Ole Jakob Mengshoel
Climbing the tower of meta-mutations – the role of higher-order mutations
Bruno Gašperov and Branko Šter
Real Application Challenges in Evolutionary Optimization? People!
Tobias Rodemann and Christiane Attig
EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines (EML joint track)
Joana Simões and João Correia
Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
Renan Beran Kilic, Kasim Sinan Yildirim and Giovanni Iacca
We are Sending you Back… to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
Daniele Papetti, Andrea Tangherloni, Vasco Coelho, Daniela Besozzi, Paolo Cazzaniga and Marco S. Nobile
Multi-Purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
Michal Bidlo and Ivana Saranova
Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.
Florian Richoux
A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems
Igor de Matos da Rosa, Alison R Panisson and Lenon Schmitz
Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem
Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu and Michael Soprano
Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
Chiara Camilla Migliore Rambaldi, David Stanicel, Marco Roveri and Giovanni Iacca
Optimizing Camera Placement for Chicken Farm Monitoring
Kyriacos Mosphilis and Vassilis Vassiliades
GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction
Ángel Fuentes-Almoguera, Carlos García-Martínez and Gabriel Luque
Adaptive Local Search for Real-World Multi-Echelon Inventory Control
Agathe Métaireau Manche, Clarisse Dhaenens, Nadarajen Veerapen and Manuel Davy
Trace-Elites: better Quality-Diversity with Multi-Point Descriptors
Harald Michael Ludwig, Ane Espeseth and Eric Medvet
Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification
Yumnah Hasan, Allan de Lima, Darian Fernández de Bulnes, Douglas Motadias and Conor Ryan
Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution
Max Taylor-Davies, Gautier Hamon, Timothé Boulet and Clement Moulin-Frier
Multi-Tree Genetic Programming for Dynamic Tugboat Scheduling
Xinxin Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang, Huili Gong and Xiangqian Ding
Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming
Steven Dockter, Qi Chen, Deepak Karunakaran and Yongshi Deng
Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport
Suet Lee and Sabine Hauert
A Survey of Modern Hybrid Particle Swarm Optimization Algorithms
Matteo Grazioso, Chiara Gallese, Leonardo Vanneschi and Marco S. Nobile
A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds
Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann and Shiping Chen
An Investigation of Structural Bias in Particle Swarm Optimization
David Ibehej and Jakub Kudela
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
Kevin Sim, Quentin Renau and Emma Hart
A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility
Vahid Rasouli, Álvaro Gomes and Carlos Henggeler Antunes
Optimizing Dietary Plans Using Evolutionary Algorithms
Iqra Azfar, Rabia Shahab, Javeria Azfar and Syeda Saleha Raza
Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms
Carlos Cotta and Jesús Martínez Cruz
Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems
So Fukuhara and Masao Arakawa
Measuring energy consumption of BBOB fitness functions
Jj Merelo, Gustavo Romero López and Mario Garcia Valdez
A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
Raziyeh Moghaddas, Fabio Caraffini and Monika Seisenberger
Geometric Particle Swarm Optimization in Program Trace Optimization
Alberto Moraglio and James McDermott
Generate more than one child in your co-evolutionary semi-supervised learning GAN (EML joint track)
Francisco José Sedeño, Jamal Toutouh and Francisco Chicano
Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers (EML joint track)
Zimeng Lyu, Devroop Kar, Matthew Simoni, Rohaan Nadeem, Avinash Bhojanapalli, Hao Zhang and Travis Desell
Robust search for the underlying objectives in black-box games with binary outcomes
Dmytro Vitel, Alessio Gaspar and Paul Wiegand
Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
Nathan Patera and John Sheppard
Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming
Mujtaba Hassan, Jo Vliegen, Stjepan Picek and Nele Mentens
Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification
Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf and Mengjie Zhang
Greater AI Design Control Aids Evolution of Computational Materials
Piper Welch, Monica Li, Shawn Beaulieu, Annie Xia, Dong Wang, Medha Goyal, Atoosa Parsa, Corey O’Hern, Rebecca Kramer and Josh Bongard
Scalable Evolution of Logically Independent Polycomputational Materials
Piper Welch, Atoosa Parsa, Shawn Beaulieu, Corey O’Hern, Rebecca Kramer and Josh Bongard
A Symbolic Regression Screening Approach within Peptide Optimisation
Aidan Murphy, Mark Kocherovsky, Nir Dayan, Illya Miralavy, Assaf Gilad and Wolfgang Banzhaf
Evolutionary Bias Identification with Embeddings
Arthur Buzelin, Yan Aquino, Victoria Estanislau, Pedro Bento, Lucas Dayrell, Samira Malaquias, Caio Santana Trigueiro, Guilherme Evangelista, Caio Grossi, Pedro Rigueira, Luisa Gontijo Porfirio, Marcelo Sartori Locatelli, Wagner Meira Jr and Gisele Pappa
The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
Claude Carlet, Marko Đurasević, Domagoj Jakobovic, Luca Mariot and Stjepan Picek
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
Haoran Yin, Anna Kononova, Thomas Bäck and Niki Van Stein
Stalling in Space: Attractor Analysis for any Algorithm
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein and Anna V. Kononova
Into the Black Box: Mining Variable Importance with XAI (EML joint track)
Kelly Hunter, Sarah L. Thomson and Emma Hart
The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
Francesco Rusin, Jan Fiala, Julian Sanker and Aniko Ekart
FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data
Elia Pacioni, Francisco Fernandez De Vega and Davide Calvaresi
Estimation of total body fat using symbolic regression and evolutionary algorithms.
Jose Manuel Muñoz, Odin Moron-Garcia, Omar Costilla-Reyes and J. Ignacio Hidalgo
Short talks
A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning
Erik Nielsen, Andrea Ferigo and Giovanni Iacca
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Stefano Genetti, Alberto Longobardi and Giovanni Iacca
An innovative approach for managing the water requirements of fig trees using artificial intelligence
Josefa Díaz Álvarez, Francisco Chavez and Maria José Moñino Espino
Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
Fabian Köhnke and Christian Borgelt
Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
Kritpol Bunjerdtaweeporn and Alberto Moraglio
Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
Francesca Da Ros, Luca Di Gaspero and Kevin Roitero
A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
Mir Hassan, Kasim Sinan Yildirim and Giovanni Iacca
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming
Wenlong Fu, Qi Chen, Bing Xue and Mengjie Zhang
Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
Emanuele Nardone, Tiziana D’Alessandro, Claudio De Stefano and Francesco Fontanella
Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization
Arthur Lequertier, Alberto Tonda and Wolfram Liebermeister
Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees.
Francisco Chávez de la O, Josefa Díaz Álvarez and María José Moñino Espino
Optimizing the logistics operations of distribution network operators from a multinational electric utility company
Diego Dantas Almeida, Mariana Azevedo, Victor Vieira, Nelson Ion de Oliveira, Anna Giselle Câmara Dantas Ribeiro Rodrigues, Leonardo Bezerra, Lucas Nunes, Thaís Alves de Mendonça and Rodrigo Manfredini
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Quentin Renau and Emma Hart
Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
Ane Espeseth, Martin Juříček, Harald Michael Ludwig and Tea Tušar
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Catalina Jaramillo Gonzalez, Julian Togelius and Paul Squires
Using Local Correlation Between Objectives to Detect Problem Modality
Tea Tušar and Jordan N. Cork
Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem
Roman Senkerik, Adam Viktorin, Tomas Kadavy, Jozef Kovac, Peter Janku, Libor Pekar, Hubert Guzowski, Maciej Smolka, Aleksander Byrski and Michal Pluhacek