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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Bibliographic Details
Main Authors: Kulkarni, Anand Jayant, (Author), Krishnasamy, Ganesh, (Author), Abraham, Ajith, 1968- (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Intelligent systems reference library ; v. 114.
Subjects:
Computational intelligence.
Combinatorial optimization.
elektronické knihy
electronic books
ISBN: 9783319442549
9783319442532
Physical Description: 1 online resource (xi, 134 pages) : illustrations

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Summary: 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.
Bibliography: Includes bibliographical references.
ISBN: 9783319442549
9783319442532
ISSN: 1868-4394 ;
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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