Druck auf Anfrage Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: Cohort Intelligence: A Socio-inspired Optimization Method
Publisher: Springer, Berlin, Springer International Publishing, Springer
Publication Date: 2016
Language: English
ISBN 10: 3319442538
ISBN 13: 9783319442532
Binding: Buch
Condition: Neu
Dimensions: 243 millimeters width by 167 millimeters height by 14 millimeters depth
Weight: 338 grams

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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.

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