Introduction to genetic algorithms
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Author
Contributions
- Deepa, S. N. - Contributor
Publication
2007 - Springer, Berlin
Language
English
Word Count
110,500 words, Guess
Page Count
442 pages
Identifiers
- Open LibraryOL18020916M
- ISBN-139783540731894
- OCLC Control Number209597472
- OCLC Control Number166357929
- Internet Archiveintroductiontoge00siva_933
and 3 more
- Library of Congress Control Number2007930221
- Goodreads2242802
- LibraryThing5633053
Classifications
- DDC006.3/1
- LCCQA76.623 .S58 2007
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.
Other Editions
- Introduction to genetic algorithms
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