Cohort Intelligence: A Socio-inspired Optimization Method

This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The bo...

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Detaylı Bibliyografya
Asıl Yazarlar: Kulkarni, Anand Jayant (Yazar), Krishnasamy, Ganesh (Yazar), Abraham, Ajith (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Intelligent Systems Reference Library, 114
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet:This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .
Fiziksel Özellikler:XI, 134 p. 29 illus. online resource.
ISBN:9783319442549
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-44254-9

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