Authors:
- 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)
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Front Matter
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Introducing Evolutionary Algorithms and Complex Networks
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Front Matter
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Complex Networks for Evolutionary Algorithms
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Front Matter
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Evolutionary Algorithms for Complex Networks
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, Shaanxi, China
Jing Liu
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School of Engineering and Information Technology, University of New South Wales, Canberra, Australia
Hussein A. Abbass
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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