Socio-cultural Inspired Metaheuristics (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 828
Release date:	October 2020
First published:	2019
Editors:	Anand J. Kulkarni • Pramod Kumar Singh • Suresh Chandra Satapathy • Ali Husseinzadeh Kashan • Kang Tai
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	303
Edition:	1st ed. 2019
ISBN-13:	978-981-13-6571-3
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-6571-7
Barcode:	9789811365713

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