Genetic Algorithm and its Applications in Inventory Control

Genetic Algorithm and its Applications in Inventory Control

EnglishPaperback / softbackPrint on demand
Pal, Pintu
LAP Lambert Academic Publishing
EAN: 9783330055612
Print on demand
Delivery on Monday, 27. of January 2025
CZK 1,717
Common price CZK 1,908
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available
Oxford Bookshop Liberec
not available

Detailed information

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.
EAN 9783330055612
ISBN 3330055618
Binding Paperback / softback
Publisher LAP Lambert Academic Publishing
Pages 176
Language English
Dimensions 220 x 150
Authors Bhunia, Asoke Kumar; Pal, Pintu