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:
- 10/29/20
- Copyrighted By:
- Springer
- 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
Reviews
Other Books
- by Kang Tai
- by Suresh Chandra Satapathy
- by Anand J. Kulkarni
- by Pramod Kumar Singh
- by Ali Husseinzadeh Kashan
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics