Evolutionary Algorithms Power Optimization by Dutta Joydeep (8 results)

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Taschenbuch. Condition: 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.

Taschenbuch. Condition: Neu. Evolutionary Algorithms for Power Optimization Problem | Joydeep Dutta | Taschenbuch | Englisch | 2022 | Scholars' Press | EAN 9786138967644 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: 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.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Kartoniert / Broschiert. Condition: 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.

Taschenbuch. Condition: 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.