Cohort Intelligence: A Socio-inspired Optimization Method (Intelligent Systems Reference Library, 114)
Language: English
Published by Springer, 2016
Series: Book 86 of 188 - Intelligent Systems Reference Library
- Hardcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9783319442532_new
- Title
- Cohort Intelligence: A Socio-inspired Optimization Method (Intelligent Systems Reference Library, 114)
- Author
- Kulkarni, Anand Jayant; Krishnasamy, Ganesh; Abraham, Ajith
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319442538
- ISBN 13
- 9783319442532
- Item weight
- 530 grams
- Series
- Book 86 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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