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

Rather, Sajad Ahmad

 
9786208889326: GSA-BBO Hybridization Algorithm: Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm - Second Edition
Softcover
ISBN 10: 6208889324 ISBN 13: 9786208889326
Verlag: LAP LAMBERT Academic Publishing, 2025

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 is a Lecturer of Computer Science And Engineering at Government College Of Engineering And Technology (GCET), Safapora, Ganderbal, Kashmir. His Research Areas of interest are in Machine Learning, Artificial Intelligence, Image Processing, etc. He is the Associate Member of IEI and Life Member of ISTE.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208889324
ISBN 13 
9786208889326
Einband
Taschenbuch
Anzahl der Seiten
56
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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