Cohort Intelligence: A Socio-inspired Optimization Method (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 114
Release date:	September 2016
First published:	2017
Authors:	Anand Jayant Kulkarni • Ganesh Krishnasamy • Ajith Abraham
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	134
Edition:	1st ed. 2017
ISBN-13:	978-3-319-44253-2
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-44253-8
Barcode:	9783319442532

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