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Theoretical Computer Science and General Issues
cover

Evolutionary Computation in Combinatorial Optimization

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

Editors: Zarges, Christine, Verel, Sébastien (Eds.)

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  • ISBN 978-3-030-72904-2
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Softcover 60,31 €
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  • ISBN 978-3-030-72903-5
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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.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • A Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem

    Pages 1-16

    Baioletti, Marco (et al.)

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

    Pages 17-33

    Cintrano, Christian (et al.)

  • Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection

    Pages 34-50

    Cosson, Raphaël (et al.)

  • MATE: A Model-Based Algorithm Tuning Engine

    Pages 51-67

    El Yafrani, Mohamed (et al.)

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

    Pages 68-83

    Le, Hoang Thanh (et al.)

Buy this book

eBook 48,14 €
price for Spain (gross)
  • ISBN 978-3-030-72904-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 60,31 €
price for Spain (gross)
  • ISBN 978-3-030-72903-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Computation in Combinatorial Optimization
Book Subtitle
21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings
Editors
  • Christine Zarges
  • Sébastien Verel
Series Title
Theoretical Computer Science and General Issues
Series Volume
12692
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-72904-2
DOI
10.1007/978-3-030-72904-2
Softcover ISBN
978-3-030-72903-5
Edition Number
1
Number of Pages
XIV, 237
Number of Illustrations
3 b/w illustrations, 44 illustrations in colour
Topics