Socio-cultural Inspired Metaheuristics (1st ed. 2019) (Studies in Computational Intelligence #828)

By: and and and and

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Synopsis
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.
Copyright:
2019

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9789811365690
Related ISBNs:
9789811365683
Publisher:
Springer Singapore, Singapore
Date of Addition:
Copyrighted By:
Springer Nature Singapore Pte Ltd.
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Anand J. Kulkarni
Edited by:
Pramod Kumar Singh
Edited by:
Suresh Chandra Satapathy
Edited by:
Ali Husseinzadeh Kashan
Edited by:
Kang Tai

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