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28th EvoApplications 2025: Trieste, Italy - Part II
- Pablo García-Sánchez

, Emma Hart
, Sarah L. Thomson
:
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15613, Springer 2025, ISBN 978-3-031-90064-8
Evolutionary Machine Learning
- Leonardo Lucio Custode

, Giovanni Iacca
:
Social Interpretable Reinforcement Learning. 3-19 - Kelly Hunter

, Sarah L. Thomson
, Emma Hart
:
Into the Black Box: Mining Variable Importance with XAI. 20-35 - Zimeng Lyu, Devroop Kar, Matthew Simoni, Rohaan Nadeem, Avinash Bhojanapalli, Hao Zhang, Travis Desell:

Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. 36-54 - Francisco Sedeño, Jamal Toutouh

, Francisco Chicano
:
Generate More than One Child in Your Co-evolutionary Semi-supervised Learning GAN. 55-70 - Joana Simões

, João Correia
:
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines. 71-88
30 Years of Particle Swarm Optimisation
- So Fukuhara

, Masao Arakawa
:
Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems. 91-106 - Matteo Grazioso

, Chiara Gallese
, Leonardo Vanneschi
, Marco S. Nobile
:
A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. 107-128 - David Ibehej, Jakub Kudela

:
An Investigation of Structural Bias in Particle Swarm Optimization. 129-144 - Alberto Moraglio, James McDermott:

Geometric Particle Swarm Optimization in Program Trace Optimization. 145-159 - Daniele M. Papetti

, Andrea Tangherloni
, Vasco Coelho
, Daniela Besozzi
, Paolo Cazzaniga
, Marco S. Nobile
:
We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. 160-175 - Nathan Patera, John Sheppard

:
Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence. 176-191
Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
- Xinxin Xu, Fangfang Zhang

, Yi Mei
, Mengjie Zhang
, Huili Gong, Xiangqian Ding:
Multi-tree Genetic Programming for Dynamic Tugboat Scheduling. 195-210
Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems
- Francisco Chávez

, Josefa Díaz Álvarez, María José Moñino:
Hybridization of Techniques Based on Genetic Algorithms and Neural Networks to Determine the Water Requirements of Fig Trees. 213-226 - Carlos Cotta

, Jesús Martínez-Cruz
:
Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms. 227-239 - Juan Julián Merelo Guervós

, Gustavo Romero López
, Mario García-Valdez
:
Measuring Energy Consumption of BBOB Fitness Functions. 240-254
Computational Intelligence for Sustainability
- Igor de Matos da Rosa, Alison R. Panisson

, Lenon Schmitz
:
A PSO-Based MPPT with Dynamic Monitoring Reset for PV Systems. 257-272 - Josefa Díaz Álvarez, Francisco Chávez de la O

, María José Moñino:
An Innovative Approach for Managing the Water Requirements of Fig Trees Using Artificial Intelligence. 273-287 - Ángel Fuentes-Almoguera, Carlos García-Martínez, Gabriel Luque

:
GPBus: Genetic Programming Based Automated Machine Learning for Bus Delay Prediction. 288-302 - Torjus Åmellem Kallekleiv

, Ole Jakob Mengshoel
:
Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization. 303-319 - Raziyeh Moghaddas

, Fabio Caraffini
, Monika Seisenberger
:
A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. 320-333
EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs))
- Arthur Buzelin, Yan Aquino, Victoria Estanislau, Pedro Bento, Lucas Dayrell, Samira Malaquias, Caio Santana, Guilherme H. G. Evangelista, Caio Souza Grossi, Pedro B. Rigueira, Luisa G. Porfírio, Marcelo Sartori Locatelli, Wagner Meira Jr., Gisele L. Pappa:

Evolutionary Bias Identification with Embeddings. 337-352 - Francesca Da Ros

, Luca Di Gaspero
, Kevin Roitero
:
Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features? 353-371 - Roman Senkerik

, Adam Viktorin
, Tomas Kadavy
, Jozef Kovác
, Peter Janku
, Libor Pekar
, Hubert Guzowski
, Maciej Smolka
, Aleksander Byrski
, Michal Pluhacek
:
Open and Closed Source Models for LLM-Generated Metaheuristics Solving Engineering Optimization Problem. 372-385 - Kevin Sim

, Quentin Renau
, Emma Hart
:
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. 386-402 - Haoran Yin, Anna V. Kononova

, Thomas Bäck
, Niki van Stein
:
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. 403-417
Evolutionary Computation in Edge, Fog, and Cloud Computing
- Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Shiping Chen:

A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds. 421-436 - Mir Hassan

, Kasim Sinan Yildirim
, Giovanni Iacca
:
A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning. 437-453
Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition
- Michal Bidlo

, Ivana Saranová:
Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules. 457-472
Machine Learning and AI in Digital Healthcare and Personalized Medicine
- Chiara Camilla Rambaldi Migliore

, David Stanicel, Marco Roveri
, Giovanni Iacca
:
Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms. 475-491 - Aidan Murphy

, Mark Kocherovsky
, Nir Dayan
, Iliya Miralavy
, Assaf A. Gilad
, Wolfgang Banzhaf
:
A Symbolic Regression Screening Approach Within Peptide Optimisation. 492-506 - José Manuel Muñoz, Odin Morón-García

, Omar Costilla-Reyes
, José Ignacio Hidalgo
:
Estimation of Total Body Fat Using Symbolic Regression and Evolutionary Algorithms. 507-521
Soft Computing Applied to Games
- Florian Richoux

:
Injecting Combinatorial Optimization into MCTS: Application to the Board Game Boop. 525-540 - Dmytro Vitel

, Alessio Gaspar
, R. Paul Wiegand
:
Robust Search for the Underlying Objectives in Black-Box Games with Binary Outcomes. 541-556

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