Socio-cultural Inspired Metaheuristics Hardback
Edited by Anand J. Kulkarni, Pramod Kumar Singh, Suresh Chandra Satapathy, Ali Husseinzadeh Kashan, Kang Tai
Part of the Studies in Computational Intelligence series
Hardback
- Information
Description
This book presents the latest insights and developments in the field of socio-cultural inspired algorithms.
Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions.
This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:303 pages, 69 Illustrations, color; 86 Illustrations, black and white; X, 303 p. 155 illus., 69 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:09/04/2019
- Category:
- ISBN:9789811365683
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:303 pages, 69 Illustrations, color; 86 Illustrations, black and white; X, 303 p. 155 illus., 69 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:09/04/2019
- Category:
- ISBN:9789811365683
