Grouping Genetic Algorithms: Advances and Applications

by Charles Mbohwa and Michael Mutingi

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"