Grouping Genetic Algorithms: Advances and Applications

by Charles Mbohwa and Michael Mutingi

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Book Overview

This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems,...

Format:Paperback

Language:English

ISBN:3319830481

ISBN13:9783319830483

Release Date:June 2018

Publisher:Springer

Length:243 Pages

Weight:0.81 lbs.

Dimensions:0.6" x 6.1" x 9.2"

Related Subjects

Business Business & Investing Computers Computers & Technology Economics Engineering Technology

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Grouping Genetic Algorithms: Advances and Applications

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