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Evolutionary Computation in Combinatorial Optimization

19th European Conference, EvoCOP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Arnaud Liefooghe

    1. University of Lille, Lille, France

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    You can also search for this editor in PubMed   Google Scholar

  2. Luís Paquete

    1. University of Coimbra, Coimbra, Portugal

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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 11452)

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

Included in the following conference series:

Conference proceedings info: EvoCOP 2019.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications

    • Thomas Jatschka, Tobias Rodemann, Günther R. Raidl
    Pages 1-16

  3. A Binary Algebraic Differential Evolution for the MultiDimensional Two-Way Number Partitioning Problem

    • Valentino Santucci, Marco Baioletti, Gabriele Di Bari, Alfredo Milani
    Pages 17-32

  4. A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling

    • Fangfang Zhang, Yi Mei, Mengjie Zhang
    Pages 33-49

  5. An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant Processing Times on One Machine

    • Hoang Thanh Le, Philine Geser, Martin Middendorf
    Pages 50-65

  6. Route Planning for a Fleet of Electric Vehicles with Waiting Times at Charging Stations

    • Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau
    Pages 66-82

  7. Multiple Periods Vehicle Routing Problems: A Case Study

    • Bilal Messaoudi, Ammar Oulamara, Nastaran Rahmani
    Pages 83-98

  8. Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers

    • Paul McMenemy, Nadarajen Veerapen, Jason Adair, Gabriela Ochoa
    Pages 99-114

  9. Runtime Analysis of Discrete Particle Swarm Optimization Applied to Shortest Paths Computation

    • Alexander Raß, Jonas Schreiner, Rolf Wanka
    Pages 115-130

  10. Quasi-Optimal Recombination Operator

    • Francisco Chicano, Gabriela Ochoa, Darrell Whitley, Renato Tinós
    Pages 131-146

  11. Insights into the Feature Selection Problem Using Local Optima Networks

    • Werner Mostert, Katherine M. Malan, Gabriela Ochoa, Andries P. Engelbrecht
    Pages 147-162

  12. Clarifying the Difference in Local Optima Network Sampling Algorithms

    • Sarah L. Thomson, Gabriela Ochoa, Sébastien Verel
    Pages 163-178

  13. A Unifying View on Recombination Spaces and Abstract Convex Evolutionary Search

    • Marcos Diez García, Alberto Moraglio
    Pages 179-195

  14. Program Trace Optimization with Constructive Heuristics for Combinatorial Problems

    • James McDermott, Alberto Moraglio
    Pages 196-212

  15. Correction to: Evolutionary Computation in Combinatorial Optimization

    • Arnaud Liefooghe, Luís Paquete
    Pages C1-C5

  16. Back Matter

    Pages 213-213
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  1. Evolutionary Computation in Combinatorial Optimization

Keywords

About this book

This book constitutes the refereed proceedings of the 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* 2019 events EuroGP, EvoMUSART and EvoApplications.

The 14 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics to their accurate design and application to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of metaheuristics core components, the clever design of their search principles, and their careful selection and configuration. Applications cover domains such as scheduling, routing, partitioning and general graph problems.

Editors and Affiliations

  • University of Lille, Lille, France

    Arnaud Liefooghe

  • University of Coimbra, Coimbra, Portugal

    Luís Paquete

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