GSA-BBO Hybridization Algorithm - Softcover

Rather, Er. Sajad Ahmad

Softcover

ISBN 10: 1983094668 ISBN 13: 9781983094668

Publisher: Independently published, 2018

Synopsis

In recent years, many heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors’ in nature. In this paper, a new optimization algorithm based on newtons law of gravity and biogeography is introduced. In the proposed algorithm, the searching space of GSA is increased from local population range to global by using the concepts of biogeography. Also, the fitness of agents is optimized in GSA by using mathematical analysis.

Edition details

• Publisher: Independently published
• Publication date: 2018
• Language: English
• ISBN 10: 1983094668
• ISBN 13: 9781983094668
• Binding: Paperback
• Number of pages: 47