genetic algorithm applications inventory von pal pintu (9 Ergebnisse)

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Taschenbuch. Zustand: Neu. Genetic Algorithm and its Applications in Inventory Control | Genetic Algorithms for Multi-Modal Functions and Applications in Inventory Control Problems in Crisp Environment | Pintu Pal (u. a.) | Taschenbuch | 176 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330055612 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genetic Algorithm is a robust and powerful computerized heuristic search and optimization technique, which is based on the mechanism of natural selection (dependent on the evolution principle 'Survival of the fittest') and natural genetics. It is most widely known evolutionary computational method due to its simplicity, powerfulness and wide applications. The main objective of this subject is to solve different types of optimization problems consisting of different types of variables/attributes. This topic was reported in the literature in the second part of the twentieth century. On the other hand, inventory control is an important topic in the area of Operations Research/Management Science. The objective of this book is to introduce different types of algorithms based on genetic algorithm and their applications in solving inventory control problems (which have not been reported in the existing literature).A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient numerical examples. This book will create interests among academicians, OR/GA practitioners and executives of different industries. 176 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pal PintuP. Pal :MCA from NBU and Ph.D. from Jadavpur University, Asst. Professor, Asansol Engineering College, Asansol, India. Published 20 more research papers. A. K. Bhunia: M.Sc. (Appl.Math) & Ph.D. from Vidyasagar University. Pr.

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Genetic Algorithm is a robust and powerful computerized heuristic search and optimization technique, which is based on the mechanism of natural selection (dependent on the evolution principle 'Survival of the fittest') and natural genetics. It is most widely known evolutionary computational method due to its simplicity, powerfulness and wide applications. The main objective of this subject is to solve different types of optimization problems consisting of different types of variables/attributes. This topic was reported in the literature in the second part of the twentieth century. On the other hand, inventory control is an important topic in the area of Operations Research/Management Science. The objective of this book is to introduce different types of algorithms based on genetic algorithm and their applications in solving inventory control problems (which have not been reported in the existing literature).A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient numerical 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. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genetic Algorithm is a robust and powerful computerized heuristic search and optimization technique, which is based on the mechanism of natural selection (dependent on the evolution principle 'Survival of the fittest') and natural genetics. It is most widely known evolutionary computational method due to its simplicity, powerfulness and wide applications. The main objective of this subject is to solve different types of optimization problems consisting of different types of variables/attributes. This topic was reported in the literature in the second part of the twentieth century. On the other hand, inventory control is an important topic in the area of Operations Research/Management Science. The objective of this book is to introduce different types of algorithms based on genetic algorithm and their applications in solving inventory control problems (which have not been reported in the existing literature).A salient feature of this book is that most of the chapters have been written in a lucid manner with sufficient numerical examples. This book will create interests among academicians, OR/GA practitioners and executives of different industries.