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Evolutionary Computation in Combinatorial Optimization

24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Thomas Stützle

    1. IRIDIA, Université libre de Bruxelles, Brussels, Belgium

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  2. Markus Wagner

    1. Monash University, Clayton, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14632)

Included in the following conference series:

Conference proceedings info: EvoCOP 2024.

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About this book

This book constitutes the referred proceedings of the 24th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2024, held as part of EvoStar 2024, in Aberystwyth, UK, during April 3–5, 2024.

The 12 full papers presented in this book were carefully reviewed and selected from 28 submissions. They cover a variety of topics, ranging from constructive algorithms, machine learning techniques ranging from neural network based guidance to sparse surrogate models for optimization problems, the foundation of evolutionary computation algorithms and other search heuristics, to multi-objective optimization problems. 

Keywords

Table of contents (12 papers)

  1. Front Matter

    Pages i-xiv
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  2. A Neural Network Based Guidance for a BRKGA: An Application to the Longest Common Square Subsequence Problem

    • Jaume Reixach, Christian Blum, Marko Djukanović, Günther R. Raidl
    Pages 1-15

  3. Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem

    • Valentin Vendi, Sébastien Verel, Cyril Fonlupt
    Pages 16-32

  4. Emergence of New Local Search Algorithms with Neuro-Evolution

    • Olivier Goudet, Mohamed Salim Amri Sakhri, Adrien Goëffon, Frédéric Saubion
    Pages 33-48

  5. Q-Learning Based Framework for Solving the Stochastic E-waste Collection Problem

    • Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Pieter Vansteenwegen
    Pages 49-64

  6. A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring

    • Cyril Grelier, Olivier Goudet, Jin-Kao Hao
    Pages 65-80

  7. Studies on Multi-objective Role Mining in ERP Systems

    • Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim
    Pages 81-96

  8. Greedy Heuristic Guided by Lexicographic Excellence

    • Satya Tamby, Laurent Gourvès, Stefano Moretti
    Pages 97-112

  9. Reduction-Based MAX-3SAT with Low Nonlinearity and Lattices Under Recombination

    • Darrell Whitley, Gabriela Ochoa, Noah Floyd, Francisco Chicano
    Pages 113-128

  10. Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances

    • Sébastien Verel, Sarah L. Thomson, Omar Rifki
    Pages 129-145

  11. Hardest Monotone Functions for Evolutionary Algorithms

    • Marc Kaufmann, Maxime Larcher, Johannes Lengler, Oliver Sieberling
    Pages 146-161

  12. A Theoretical Investigation of Termination Criteria for Evolutionary Algorithms

    • Jonathan E. Rowe
    Pages 162-176

  13. Experimental and Theoretical Analysis of Local Search Optimising OBDD Variable Orderings

    • Thomas Jansen, Christine Zarges
    Pages 177-192

  14. Back Matter

    Pages 193-193
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Other volumes

  1. Evolutionary Computation in Combinatorial Optimization

Editors and Affiliations

  • IRIDIA, Université libre de Bruxelles, Brussels, Belgium

    Thomas Stützle

  • Monash University, Clayton, Australia

    Markus Wagner

Bibliographic Information

  • Book Title: Evolutionary Computation in Combinatorial Optimization

  • Book Subtitle: 24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings

  • Editors: Thomas Stützle, Markus Wagner

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-57712-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-57711-6Published: 04 May 2024

  • eBook ISBN: 978-3-031-57712-3Published: 18 April 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 194

  • Number of Illustrations: 41 b/w illustrations

  • Topics: Mathematics of Computing, Theory of Computation, Computer Communication Networks, Artificial Intelligence

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