Introduction to genetic algorithms
By: S.N. Sivanandam, S.N. Deepa.
Contributors: Deepa, S. N.
Publisher: Springer
Published: 2007
Place of publication: Berlin; New York
Language: eng
Number of pages: 442
ISBN-13: 9783540731894
Subjects: Genetic programming (Computer science); Genetic algorithms.
Description: "This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied."--Jacket.
Notes: Includes bibliographical references (p. [425]-442).