Grouping Genetic Algorithms Advances and Applications /

• Κύριοι συγγραφείς: Mutingi, Michael (Συγγραφέας), Mbohwa, Charles (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 666
• Θέματα: 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...