9783659825521 - Reliability Optimization in Fuzzy and Interval Environments: Applications of Genetic Algorithm in Reliability Optimization in Crisp, Stochastic, Fuzzy & Interval En... (6 risultati)

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Taschenbuch. Condizione: Neu. Reliability Optimization in Fuzzy and Interval Environments | Applications of Genetic Algorithm in Reliability Optimization in Crisp, Stochastic, Fuzzy & Interval Environments | Sanat Kumar Mahato (u. a.) | Taschenbuch | 176 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659825521 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reliability optimization is an important field in the field of reliability engineering which has gained more attention in the literature in the middle of the twentieth century. At the beginning, it was applied to communication and information systems. The main objective of this subject is to enhance the reliability of a system. The topic 'Reliability Optimization' was appeared in the literature in late 1940s. It was first applied to transportation and communication system. After that, this topic took place as an important field in reliability engineering and researchers/practitioners were attracted to tackle the problems. The objective of this book is to formulate and solve several types of reliability optimization problems (which have not been reported in the existing literature) in different environments (i.e., crisp, stochastic, fuzzy and interval) with the help of advanced genetic algorithm and Big-M penalty technique. A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient examples. This book will create interests among academicians, OR/GA practitioners and executives of different industries. 176 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mahato Sanat KumarS.K. Mahato: M.Sc.& Ph.D. from Burdwan University. Asst. Professor of Mathematics, Mejia Govt. College, India. Published 15 more research papers.A.K. Bhunia: M.Sc.(Appl. Math) & Ph.D. from Vidyasagar University. Pro.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reliability optimization is an important field in the field of reliability engineering which has gained more attention in the literature in the middle of the twentieth century. At the beginning, it was applied to communication and information systems. The main objective of this subject is to enhance the reliability of a system. The topic 'Reliability Optimization' was appeared in the literature in late 1940s. It was first applied to transportation and communication system. After that, this topic took place as an important field in reliability engineering and researchers/practitioners were attracted to tackle the problems. The objective of this book is to formulate and solve several types of reliability optimization problems (which have not been reported in the existing literature) in different environments (i.e., crisp, stochastic, fuzzy and interval) with the help of advanced genetic algorithm and Big-M penalty technique. A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient examples. This book will create interests among academicians, OR/GA practitioners and executives of different industries.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reliability optimization is an important field in the field of reliability engineering which has gained more attention in the literature in the middle of the twentieth century. At the beginning, it was applied to communication and information systems. The main objective of this subject is to enhance the reliability of a system. The topic 'Reliability Optimization' was appeared in the literature in late 1940s. It was first applied to transportation and communication system. After that, this topic took place as an important field in reliability engineering and researchers/practitioners were attracted to tackle the problems. The objective of this book is to formulate and solve several types of reliability optimization problems (which have not been reported in the existing literature) in different environments (i.e., crisp, stochastic, fuzzy and interval) with the help of advanced genetic algorithm and Big-M penalty technique. A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient examples. This book will create interests among academicians, OR/GA practitioners and executives of different industries.