Over the past few decades there have been a growing interest in the use of biology as a source of inspiration for solving computational problems. This area of research is often referred to as Biologically Inspired Computing. The motivation of this field is primarily to extract useful metaphors from natural biological systems, in order to create effective computational solutions to complex problems in a wide range of domain areas. The concept of optimization is now well rooted as a principle underlying the analysis of many complex decision supporting system or allocation problems. It offers a certain degree of philosophical elegance that is hard to dispute, and it often offers an indispensable degree of operational simplicity. Using this optimization philosophy, one approaches a complex decision problem, involving the selection of values for a number of interrelated variables, by focusing attention on a single objective designed to quantify performance and measure the quality of the decision.
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Faiz A. Al-Qurashi received the B.Sc. degree in education from Um AL-Qura University, Taif, Saudi Arabia, in 1999, M.Sc. degree in mathematics from Taif university, in 2015.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: AL-Qurashi FaizFaiz A. Al-Qurashi received the B.Sc. degree in education from Um AL-Qura University, Taif, Saudi Arabia, in 1999, M.Sc. degree in mathematics from Taif university, in 2015.Over the past few decades there have b. Bestandsnummer des Verkäufers 505455975
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Taschenbuch. Zustand: Neu. Neuware -Over the past few decades there have been a growing interest in the use of biology as a source of inspiration for solving computational problems. This area of research is often referred to as Biologically Inspired Computing. The motivation of this field is primarily to extract useful metaphors from natural biological systems, in order to create effective computational solutions to complex problems in a wide range of domain areas. The concept of optimization is now well rooted as a principle underlying the analysis of many complex decision supporting system or allocation problems. It offers a certain degree of philosophical elegance that is hard to dispute, and it often offers an indispensable degree of operational simplicity. Using this optimization philosophy, one approaches a complex decision problem, involving the selection of values for a number of interrelated variables, by focusing attention on a single objective designed to quantify performance and measure the quality of the decision.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Bestandsnummer des Verkäufers 9783659832185
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past few decades there have been a growing interest in the use of biology as a source of inspiration for solving computational problems. This area of research is often referred to as Biologically Inspired Computing. The motivation of this field is primarily to extract useful metaphors from natural biological systems, in order to create effective computational solutions to complex problems in a wide range of domain areas. The concept of optimization is now well rooted as a principle underlying the analysis of many complex decision supporting system or allocation problems. It offers a certain degree of philosophical elegance that is hard to dispute, and it often offers an indispensable degree of operational simplicity. Using this optimization philosophy, one approaches a complex decision problem, involving the selection of values for a number of interrelated variables, by focusing attention on a single objective designed to quantify performance and measure the quality of the decision. Bestandsnummer des Verkäufers 9783659832185
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Taschenbuch. Zustand: Neu. Advanced Evolutionary Approach Supporting Decision Making Systems | Concepts and Trends | Faiz AL-Qurashi (u. a.) | Taschenbuch | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659832185 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 113180283
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