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Evolutionary Computation and Complex Networks

  • Jing Liu
  • Hussein A. Abbass
  • Kay Chen Tan

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introducing Evolutionary Algorithms and Complex Networks

    1. Front Matter
      Pages 1-1
    2. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 3-22
    3. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 23-36
  3. Complex Networks for Evolutionary Algorithms

    1. Front Matter
      Pages 37-37
    2. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 39-52
    3. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 53-74
  4. Evolutionary Algorithms for Complex Networks

    1. Front Matter
      Pages 75-75
    2. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 77-115
    3. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 117-140
    4. Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 141-146
  5. Back Matter
    Pages 147-148

About this book

Introduction

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

  • Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively;
  • Provides novel and efficient computational problem solving techniques that require little computer memory;
  • Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.

Keywords

Algorithms Complex Networks Evolutionary Algorithms Evolutionary Community Detection Evolutionary Computation Evolutionary Dynamics Evolving Cooperative Networks Evolving Robust Networks

Authors and affiliations

  • Jing Liu
    • 1
  • Hussein A. Abbass
    • 2
  • Kay Chen Tan
    • 3
  1. 1.Key Laboratory of Intelligent Perception and Image Understanding of Ministry of EducationXidian UniversityXi’an, ShaanxiChina
  2. 2.School of Engineering and Information TechnologyUniversity of New South WalesCanberraAustralia
  3. 3.Department of Computer ScienceCity University of Hong KongKowloon TongHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60000-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-59998-4
  • Online ISBN 978-3-319-60000-0
  • Buy this book on publisher's site