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Applications of Evolutionary Computation

28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Pablo García-Sánchez

    1. University of Granada, Granada, Spain

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  2. Emma Hart

    1. Edinburgh Napier University, Edinburgh, UK

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  3. Sarah L. Thomson

    1. Edinburgh Napier University, Edinburgh, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15612)

Included in the following conference series:

Conference proceedings info: EvoApplications 2025.

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About this book

This two-volume set, LNCS 15612 and 15613 constitutes the refereed proceedings of the 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025, in Trieste, Italy, during April 23–25, 2025, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP.

The 50 full papers and 18 short papers presented in this book were carefully reviewed and selected from 104 submissions. These papers have been organized in the following topical sections:

Part I: EvoApplications.
Part II: Evolutionary machine learning; 30 years of particle swarm optimisation; Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications; Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems; Computational Intelligence for Sustainability; EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs); Evolutionary Computation in Edge, Fog, and Cloud Computing; Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition; Machine Learning and AI in Digital Healthcare and Personalized Medicine; Soft Computing Applied to Games.

Keywords

Table of contents (35 papers)

  1. EvoApplications

    1. Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport

      • Suet Lee, Sabine Hauert
      Pages 305-322

    2. Inferring Reaction Elasticities from Metabolic Correlations in Cells Through Multi-objective Evolutionary Optimization

      • Arthur Lequertier, Wolfram Liebermeister, Alberto Tonda
      Pages 323-337

    3. Trace-Elites: Better Quality-Diversity with Multi-point Descriptors

      • Harald M. Ludwig, Ane Espeseth, Eric Medvet
      Pages 338-353

    4. Optimizing Camera Placement for Chicken Farm Monitoring

      • Kyriacos Mosphilis, Vassilis Vassiliades
      Pages 354-369

    5. Adaptive Local Search for Real-World Multi-echelon Inventory Control

      • Agathe Métaireau Manche, Clarisse Dhaenens, Nadarajen Veerapen, Manuel Davy
      Pages 370-384

    6. Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study

      • Emanuele Nardone, Tiziana D’Alessandro, Claudio De Stefano, Francesco Fontanella
      Pages 385-401

    7. A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning

      • Erik Nielsen, Andrea Ferigo, Giovanni Iacca
      Pages 402-418

    8. FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data

      • Elia Pacioni, Francisco Fernández De Vega, Davide Calvaresi
      Pages 419-434

    9. A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility

      • Vahid Rasouli, Álvaro Gomes, Carlos Henggeler Antunes
      Pages 435-451

    10. Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model

      • Quentin Renau, Emma Hart
      Pages 452-468

    11. Real Application Challenges in Evolutionary Optimization? People!

      • Tobias Rodemann, Christiane Attig
      Pages 469-481

    12. The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm

      • Francesco Rusin, Jan Fiala, Julian Sanker, Suyesh Bhattarai, Anikó Ekárt
      Pages 482-495

    13. Emergent Kin Selection of Altruistic Feeding via Non-episodic Neuroevolution

      • Max Taylor-Davies, Gautier Hamon, Timothé Boulet, Clément Moulin-Frier
      Pages 496-509

    14. Stalling in Space: Attractor Analysis for Any Algorithm

      • Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
      Pages 510-526

    15. Using Local Correlation Between Objectives to Detect Problem Modality

      • Tea Tušar, Jordan N. Cork
      Pages 527-542

    16. Greater AI Design Control Aids Evolution of Computational Materials

      • Piper Welch, Monica Li, Shawn Beaulieu, Annie Xia, Dong Wang, Medha Goyal et al.
      Pages 543-557

    17. Scalable Evolution of Logically Independent Polycomputational Materials

      • Piper Welch, Atoosa Parsa, Shawn Beaulieu, Corey S. O’Hern, Rebecca Kramer-Bottiglio, Josh Bongard
      Pages 558-572

  2. Back Matter

    Pages 573-576
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Other volumes

  1. Applications of Evolutionary Computation

  2. Applications of Evolutionary Computation

Editors and Affiliations

  • University of Granada, Granada, Spain

    Pablo García-Sánchez

  • Edinburgh Napier University, Edinburgh, UK

    Emma Hart, Sarah L. Thomson

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