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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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch. Seller Inventory # 9786139844432
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rather Sajad AhmadEr. 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 Learni. Seller Inventory # 385873970
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786139844432
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786139844432
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Taschenbuch. Condition: Neu. GSA-BBO Hybridization Algorithm | Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm | Sajad Ahmad Rather | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139844432 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 114109652