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Evolutionary Computation in Combinatorial Optimization

21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Christine Zarges

    1. Aberystwyth University, Aberystwyth, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Sébastien Verel

    1. Université du Littoral Côte d'Opale, Calais, France

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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 12692)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EvoCOP 2021.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. A Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem

    • Marco Baioletti, Riccardo Rasconi, Angelo Oddi
    Pages 1-16

  3. Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs

    • Christian Cintrano, Javier Ferrer, Manuel López-Ibáñez, Enrique Alba
    Pages 17-33

  4. Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection

    • Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka, Qingfu Zhang
    Pages 34-50

  5. MATE: A Model-Based Algorithm Tuning Engine

    • Mohamed El Yafrani, Marcella Scoczynski, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen
    Pages 51-67

  6. An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem

    • Hoang Thanh Le, Martin Middendorf, Yuhui Shi
    Pages 68-83

  7. Runtime Analysis of the \((\mu + 1)\)-EA on the Dynamic BinVal Function

    • Johannes Lengler, Simone Riedi
    Pages 84-99

  8. Tabu-Driven Quantum Neighborhood Samplers

    • Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko
    Pages 100-119

  9. On Hybrid Heuristics for Steiner Trees on the Plane with Obstacles

    • Victor Parque
    Pages 120-135

  10. Flowshop NEH-Based Heuristic Recommendation

    • Lucas Marcondes Pavelski, Marie-Éléonore Kessaci, Myriam Delgado
    Pages 136-151

  11. Stagnation Detection with Randomized Local Search

    • Amirhossein Rajabi, Carsten Witt
    Pages 152-168

  12. An Artificial Immune System for Black Box Test Case Selection

    • Lukas Rosenbauer, Anthony Stein, Jörg Hähner
    Pages 169-184

  13. Symmetry Breaking for Voting Mechanisms

    • Preethi Sankineni, Andrew M. Sutton
    Pages 185-201

  14. A Heuristic Algorithm for School Bus Routing with Bus Stop Selection

    • Monique Sciortino, Rhyd Lewis, Jonathan Thompson
    Pages 202-218

  15. Hybrid Heuristic and Metaheuristic for Solving Electric Vehicle Charging Scheduling Problem

    • Imene Zaidi, Ammar Oulamara, Lhassane Idoumghar, Michel Basset
    Pages 219-235

  16. Back Matter

    Pages 237-237
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Other volumes

  1. Evolutionary Computation in Combinatorial Optimization

Keywords

About this book

This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. 
The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.

Editors and Affiliations

  • Aberystwyth University, Aberystwyth, UK

    Christine Zarges

  • Université du Littoral Côte d'Opale, Calais, France

    Sébastien Verel

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