Socio-cultural Inspired Metaheuristics

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...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Kulkarni, Anand J. (Editör), Singh, Pramod Kumar (Editör), Satapathy, Suresh Chandra (Editör), Husseinzadeh Kashan, Ali (Editör), Tai, Kang (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Computational Intelligence, 828
Konular:
Computational intelligence.
Artificial intelligence.
Mathematical optimization.
Computational Intelligence.
Artificial Intelligence.
Continuous Optimization.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:X, 303 p. 155 illus., 69 illus. in color. online resource.
ISBN:9789811365690
ISSN:1860-9503 ;
DOI:10.1007/978-981-13-6569-0

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