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Socio-cultural Inspired Metaheuristics

by Anand J. Kulkarni

2021-01-06 18:54:26

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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-... Read more

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.


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Book Details

File size9.25 X 6.1 X 0 in
Print pages303
PublisherSpringer Nature
Publication date April 23, 2020
LanguageEnglish
ISBN9789811365713
autor-image
Anand J. Kulkarni
Author
...

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