Cohort intelligence : a socio-inspired optimization method / Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham.
Kulkarni, Anand Jayant, author.; Krishnasamy, Ganesh, author.; Abraham, Ajith, 1968- author.
2017
Q342
Available Online

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Title Cohort intelligence : a socio-inspired optimization method / Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham.
Author Kulkarni, Anand Jayant, author.
ISBN 9783319442549 (electronic book)
3319442546 (electronic book)
9783319442532
3319442538
DOI https://doi.org/10.1007/978-3-319-44254-9
Published Cham, Switzerland : Springer, 2017.
Language English
Description 1 online resource (xi, 134 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-319-44254-9 doi
Call Number Q342
Dewey Decimal Classification 006.3
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, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Added Author Krishnasamy, Ganesh, author.
Abraham, Ajith, 1968- author.
Series Intelligent systems reference library ; v. 114.
Available in Other Form Cohort Intelligence.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction To Optimization
Socio-Inspired Optimization Using Cohort Intelligence
Cohort Intelligence For Constrained Test Problems
Modified Cohort Intelligence For Solving Machine Learning Problems
Solution To 0-1 Knapsack Problem Using Cohort Intelligence Algorithm
Cohort Intelligence For Solving Travelling Salesman Problems
Solution To A New Variant Of The Assignment Problem Using Cohort Intelligence Algorithm
Solution To Sea Cargo Mix (Scm) Problem Using Cohort Intelligence Algorithm
Solution To The Selection Of Cross-Border Shippers (Scbs) Problem
Conclusions And Future Directions.

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