Grouping Genetic Algorithms Advances and Applications /

• Main Authors: Mutingi, Michael (Author), Mbohwa, Charles (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Studies in Computational Intelligence, 666
• Subjects: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Management science.; Computational intelligence.; Industrial engineering.; Production engineering.; Computational Intelligence.; Operation Research/Decision Theory.; Artificial Intelligence (incl. Robotics).; Industrial and Production Engineering.; Operations Research, Management Science.

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...