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Evolutionary Computation and Complex Networks

  • Book
  • © 2019

Overview

Authors:
  1. Jing Liu

    1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, Shaanxi, China

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  2. Hussein A. Abbass

    1. School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

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  3. Kay Chen Tan

    1. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

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  • 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

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Table of contents (7 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Evolutionary Computation

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 3-22

    3. Complex Networks

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 23-36

  3. Complex Networks for Evolutionary Algorithms

    1. Front Matter

      Pages 37-37
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    2. Problem Difficulty Analysis Based on Complex Networks

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 39-52

    3. Network-Based Problem Difficulty Prediction Measures

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 53-74

  4. Evolutionary Algorithms for Complex Networks

    1. Front Matter

      Pages 75-75
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    2. Evolutionary Community Detection Algorithms

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 77-115

    3. Evolving Robust Networks Using Evolutionary Algorithms

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 117-140

    4. Other Optimization Problems in Complex Networks

      • Jing Liu, Hussein A. Abbass, Kay Chen Tan
      Pages 141-146

  5. Back Matter

    Pages 147-148
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Keywords

About this book

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.

Authors and Affiliations

  • Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, Shaanxi, China

    Jing Liu

  • School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

    Hussein A. Abbass

  • Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

    Kay Chen Tan

Bibliographic Information

  • Book Title: Evolutionary Computation and Complex Networks

  • Authors: Jing Liu, Hussein A. Abbass, Kay Chen Tan

  • DOI: https://doi.org/10.1007/978-3-319-60000-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-319-59998-4Published: 04 October 2018

  • Softcover ISBN: 978-3-030-09649-6Published: 11 February 2019

  • eBook ISBN: 978-3-319-60000-0Published: 22 September 2018

  • Edition Number: 1

  • Number of Pages: XIX, 148

  • Number of Illustrations: 20 b/w illustrations, 29 illustrations in colour

  • Topics: Communications Engineering, Networks, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices

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