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Applications of Evolutionary Computation

27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Stephen Smith

    1. University of York, York, UK

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  2. João Correia

    1. University of Coimbra, Coimbra, Portugal

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  3. Christian Cintrano

    1. University of Málaga, Málaga, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14635)

Included in the following conference series:

Conference proceedings info: EvoApplications 2024.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xxi
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  2. Evolutionary Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation

      • Erdi Sayar, Vladislav Vintaykin, Giovanni Iacca, Alois Knoll
      Pages 3-18

    3. Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution

      • Didrik Spanne Reilstad, Kai Olav Ellefsen
      Pages 19-35

    4. Evolving Reservoirs for Meta Reinforcement Learning

      • Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut, Clément Moulin-Frier
      Pages 36-60

    5. Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control

      • Atanu Mazumdar, Ville Kyrki
      Pages 61-75

    6. Towards Physical Plausibility in Neuroevolution Systems

      • Gabriel Cortês, Nuno Lourenço, Penousal Machado
      Pages 76-90

    7. Leveraging More of Biology in Evolutionary Reinforcement Learning

      • Bruno Gašperov, Marko Đurasević, Domagoj Jakobovic
      Pages 91-114

    8. A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour

      • Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
      Pages 115-129

    9. DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm

      • Emilio Bernal-Zubieta, Jesús Guillermo Falcón-Cardona, Jorge M. Cruz-Duarte
      Pages 130-146

    10. A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks

      • Luana Clare, Alexandra Marques, João Correia
      Pages 147-162

    11. Robust Neural Architecture Search Using Differential Evolution for Medical Images

      • Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar
      Pages 163-179

    12. Progressive Self-supervised Multi-objective NAS for Image Classification

      • Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante
      Pages 180-195

    13. Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data

      • Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang
      Pages 196-211

    14. Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments

      • Jill Baumann, Oliver Kramer
      Pages 212-224

    15. Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification

      • Harsh Bandhey, Sphia Sadek, Malek Kamoun, Ryan Urbanowicz
      Pages 225-239

    16. An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation

      • Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque
      Pages 240-255

    17. Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners

      • David Pätzel, Richard Nordsieck, Jörg Hähner
      Pages 256-272

  3. Machine Learning and AI in Digital Healthcare and Personalized Medicine

    1. Front Matter

      Pages 273-273
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    2. Incremental Growth on Compositional Pattern Producing Networks Based Optimization of Biohybrid Actuators

      • Michail-Antisthenis Tsompanas
      Pages 275-289
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Other volumes

  1. Applications of Evolutionary Computation

  2. Applications of Evolutionary Computation

Keywords

About this book

The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP.

The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections: applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation.


Editors and Affiliations

  • University of York, York, UK

    Stephen Smith

  • University of Coimbra, Coimbra, Portugal

    João Correia

  • University of Málaga, Málaga, Spain

    Christian Cintrano

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