9786200224255 - Cat Swarm Optimization: Theory ,Practices & Applications di Manian, Dhivya; Mani, Mynavathi; Suguna, Kanimozhi (9 risultati)

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Paperback. Condizione: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condizione: Neu. Cat Swarm Optimization: Theory ,Practices & Applications | Dhivya Manian (u. a.) | Taschenbuch | 80 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200224255 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cat Swarm Optimization adopts a swarm of cats to represent the potential solutions of an optimization problem. In 2006, by analyzing the behavior of Cats, Shu-Chuan Chu, Pei-Wei Tsai, and Jeng-Shyang Pan, developed CSO algorithm.CSO performs learning and multi-modal search through two processes, namely seeking mode and tracing mode. Cat Swarm optimization provides scalability and adaptability to varied real-time applications. The CSO algorithm is extremely parallel and presents a fine tractability in terms of computational time and cost. The research fraternity had utilized, modified, enhanced the original CSO algorithm for solving many real time problems. In spite of multitude of publications in CSO till date, nearly around 300 articles are available as per the Google Scholar Reports in 2019. The goal is to improve the already existing solutions, refine them, and define them as per the real time applications. This book includes the background information on CSO, variants of CSO, and its applications in varied disciplines. The book is intended for graduate students, professors, researchers, and industry professionals interested in optimization techniques. 80 pp. Englisch.

Condizione: New. Print on Demand.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Manian DhivyaDr.M.Dhivya is working as Associate Professor in the Department of ECE at New Horizon College of Engineering, Bangalore,India. Her research Interests are Wireless Sensor Networks, Embedded & Real Time Systems, Optimizat.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cat Swarm Optimization adopts a swarm of cats to represent the potential solutions of an optimization problem. In 2006, by analyzing the behavior of Cats, Shu-Chuan Chu, Pei-Wei Tsai, and Jeng-Shyang Pan, developed CSO algorithm.CSO performs learning and multi-modal search through two processes, namely seeking mode and tracing mode. Cat Swarm optimization provides scalability and adaptability to varied real-time applications. The CSO algorithm is extremely parallel and presents a fine tractability in terms of computational time and cost. The research fraternity had utilized, modified, enhanced the original CSO algorithm for solving many real time problems. In spite of multitude of publications in CSO till date, nearly around 300 articles are available as per the Google Scholar Reports in 2019. The goal is to improve the already existing solutions, refine them, and define them as per the real time applications. This book includes the background information on CSO, variants of CSO, and its applications in varied disciplines. The book is intended for graduate students, professors, researchers, and industry professionals interested in optimization techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cat Swarm Optimization adopts a swarm of cats to represent the potential solutions of an optimization problem. In 2006, by analyzing the behavior of Cats, Shu-Chuan Chu, Pei-Wei Tsai, and Jeng-Shyang Pan, developed CSO algorithm.CSO performs learning and multi-modal search through two processes, namely seeking mode and tracing mode. Cat Swarm optimization provides scalability and adaptability to varied real-time applications. The CSO algorithm is extremely parallel and presents a fine tractability in terms of computational time and cost. The research fraternity had utilized, modified, enhanced the original CSO algorithm for solving many real time problems. In spite of multitude of publications in CSO till date, nearly around 300 articles are available as per the Google Scholar Reports in 2019. The goal is to improve the already existing solutions, refine them, and define them as per the real time applications. This book includes the background information on CSO, variants of CSO, and its applications in varied disciplines. The book is intended for graduate students, professors, researchers, and industry professionals interested in optimization techniques.