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Evolutionary Computation in Combinatorial Optimization

23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Leslie Pérez Cáceres

    1. Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

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  2. Thomas Stützle

    1. Université libre de Bruxelles, Bruxelles, Belgium

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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 13987)

Included in the following conference series:

Conference proceedings info: EvoCOP 2023.

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About this book

This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP.

The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

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Keywords

Table of contents (15 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions

    • Mehdi El Krari, Rym Nesrine Guibadj, John Woodward, Denis Robilliard
    Pages 1-15

  3. Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries

    • Mehmet Anıl Akbay, Can Berk Kalayci, Christian Blum
    Pages 16-33

  4. Real-World Vehicle Routing Using Adaptive Large Neighborhood Search

    • Vojtěch Sassmann, Hana Rudová, Michal Gabonnay, Václav Sobotka
    Pages 34-49

  5. A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning

    • Thomas Jatschka, Tobias Rodemann, Günther R. Raidl
    Pages 50-65

  6. A Memetic Algorithm for Deinterleaving Pulse Trains

    • Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Jin-Kao Hao
    Pages 66-81

  7. Application of Negative Learning Ant Colony Optimization to the Far from Most String Problem

    • Christian Blum, Pedro Pinacho-Davidson
    Pages 82-97

  8. Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring

    • Cyril Grelier, Olivier Goudet, Jin-Kao Hao
    Pages 98-113

  9. Evolutionary Strategies for the Design of Binary Linear Codes

    • Claude Carlet, Luca Mariot, Luca Manzoni, Stjepan Picek
    Pages 114-129

  10. A Policy-Based Learning Beam Search for Combinatorial Optimization

    • Rupert Ettrich, Marc Huber, Günther R. Raidl
    Pages 130-145

  11. Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing

    • Kirita-Rose Escott, Hui Ma, Gang Chen
    Pages 146-161

  12. OneMax Is Not the Easiest Function for Fitness Improvements

    • Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou
    Pages 162-178

  13. The Cost of Randomness in Evolutionary Algorithms: Crossover can Save Random Bits

    • Carlo Kneissl, Dirk Sudholt
    Pages 179-194

  14. Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes

    • Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
    Pages 195-210

  15. Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation

    • Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, Claus Aranha
    Pages 211-226

  16. On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes

    • Matheus C. Teixeira, Gisele L. Pappa
    Pages 227-243

  17. Back Matter

    Pages 245-245
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Other volumes

  1. Evolutionary Computation in Combinatorial Optimization

Editors and Affiliations

  • Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

    Leslie Pérez Cáceres

  • Université libre de Bruxelles, Bruxelles, Belgium

    Thomas Stützle

Bibliographic Information

  • Book Title: Evolutionary Computation in Combinatorial Optimization

  • Book Subtitle: 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings

  • Editors: Leslie Pérez Cáceres, Thomas Stützle

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-30035-6

  • 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 2023

  • Softcover ISBN: 978-3-031-30034-9Published: 31 March 2023

  • eBook ISBN: 978-3-031-30035-6Published: 30 March 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 245

  • Number of Illustrations: 6 b/w illustrations, 35 illustrations in colour

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

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