Multi-Objective Optimization Evolutionary to Hybrid Framework /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Mandal, Jyotsna K. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mukhopadhyay, Somnath (Editor, http://id.loc.gov/vocabulary/relators/edt), Dutta, Paramartha (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Computer science-Mathematics.; Mathematical optimization.; Computational intelligence.; Mathematics of Computing.; Optimization.; Computational Intelligence.

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving variou...