Genetic Algorithm and its Applications in Inventory Control

Pintu Pal

ISBN 10: 3330055618 / ISBN 13: 9783330055612

Published by LAP LAMBERT Academic Publishing Mär 2018, 2018

About this Item

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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch.

Seller Inventory # 9783330055612

Bibliographic Details

• Title: Genetic Algorithm and its Applications in Inventory Control
• Publisher: LAP LAMBERT Academic Publishing Mär 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3330055618
• ISBN 13: 9783330055612
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.