GSA-BBO Hybridization Algorithm - Couverture souple

Rather, Er. Sajad Ahmad

Couverture souple

ISBN 10 : 1983094668 ISBN 13 : 9781983094668

Editeur : 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.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 1983094668
• ISBN 13: 9781983094668
• Reliure: Broché
• Nombre de pages: 47
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg