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Sinopsis
In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research interest. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. To find out the parameter(s) value for making systems more efficient, fast, and reliable the need for robust, flexible, and improved optimization algorithms is increasing day by day. In this book, we have concentrated on optimizing real-world numerical optimization problems. Detailed analyses of some selected real-world optimization problems have been done.
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Evolutionary Algorithms for Power Optimization Problem
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Scholar\'s Press, 2022
ISBN 10: 613896764X
ISBN 13: 9786138967644
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Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research inte. Nº de ref. del artículo: 590015107
Cantidad disponible: Más de 20 disponibles
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Evolutionary Algorithms for Power Optimization Problem
Publicado por
Scholars' Press Apr 2022, 2022
ISBN 10: 613896764X
ISBN 13: 9786138967644
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research interest. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. To find out the parameter(s) value for making systems more efficient, fast, and reliable the need for robust, flexible, and improved optimization algorithms is increasing day by day. In this book, we have concentrated on optimizing real-world numerical optimization problems. Detailed analyses of some selected real-world optimization problems have been done. 108 pp. Englisch. Nº de ref. del artículo: 9786138967644
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Evolutionary Algorithms for Power Optimization Problem
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research interest. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. To find out the parameter(s) value for making systems more efficient, fast, and reliable the need for robust, flexible, and improved optimization algorithms is increasing day by day. In this book, we have concentrated on optimizing real-world numerical optimization problems. Detailed analyses of some selected real-world optimization problems have been done. Nº de ref. del artículo: 9786138967644
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Evolutionary Algorithms for Power Optimization Problem
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Evolutionary Algorithms for Power Optimization Problem
Publicado por
Scholars' Press Apr 2022, 2022
ISBN 10: 613896764X
ISBN 13: 9786138967644
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research interest. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. To find out the parameter(s) value for making systems more efficient, fast, and reliable the need for robust, flexible, and improved optimization algorithms is increasing day by day. In this book, we have concentrated on optimizing real-world numerical optimization problems. Detailed analyses of some selected real-world optimization problems have been done.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Nº de ref. del artículo: 9786138967644
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