Kulkarni / Krishnasamy / Abraham Cohort Intelligence: A Socio-inspired Optimization Method

1. Auflage 2017
ISBN: 978-3-319-44254-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 114, 134 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Kulkarni, Anand Jayant

Krishnasamy, Ganesh

Abraham, Ajith

Inhaltsverzeichnis

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.