Evolutionary Computation and Complex Networks (Paperback, Softcover reprint of the original 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	February 2019
First published:	2019
Authors:	Jing Liu • Hussein A. Abbass • Kay Chen Tan
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	148
Edition:	Softcover reprint of the original 1st ed. 2019
ISBN-13:	978-3-03-009649-6
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	3-03-009649-1
Barcode:	9783030096496

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