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.

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Detalles bibliogr�ficos

T�tulo

Genetic Algorithm and its Applications in Inventory Control : Genetic Algorithms for Multi-Modal Functions and Applications in Inventory Control Problems in Crisp Environment

Editor

LAP LAMBERT Academic Publishing

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

3330055618

ISBN 13

9783330055612

Encuadernaci�n

Taschenbuch

Estado

Neu

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Sinopsis

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.

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