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GSA-BBO Hybridization Algorithm: Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm - Softcover

Rather, Sajad Ahmad

 
9786139844432: GSA-BBO Hybridization Algorithm: Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm
Softcover
ISBN 10: 6139844436 ISBN 13: 9786139844432
Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

In recent years, many heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors' in nature. In this book, 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.

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Über die Autorin bzw. den Autor

Er. Sajad Ahmad Rather é professor de Informática e Engenharia no Colégio Governamental de Engenharia e Tecnologia, Safapora, Ganderbal, Caxemira. As suas áreas de investigação de interesse são a aprendizagem de máquinas, Inteligência Artificial, Processamento de Imagem, etc. Publicou trabalhos de investigação em revistas de renome e apresentou trabalhos de investigação.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
6139844436
ISBN 13 
9786139844432
Einband
Taschenbuch
Anzahl der Seiten
56
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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