Introduction to genetic algorithms / S.N. Sivanandam, S.N. Deepa.
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TextLanguage: English Publication details: Berlin ; New York : New Delhi : Springer, Springer India Private Limited, 2007. 2008. Description: xix, 442 p. : ill. ; 24 cmISBN: 9783642092244; 9788132211051; 9783540731894 (hardcover : alk. paper); 9783540731894Subject(s): Genetic programming (Computer science) | Genetic algorithmsDDC classification: 006.31 LOC classification: QA76.623 | .S58 2007Online resources: WorldCat details | E-book Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 006.31 SII 2008 (Browse shelf(Opens below)) | Not For Loan | ||||
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EWU Library Reserve Section | Non-fiction | 006.31 SII 2008 (Browse shelf(Opens below)) | C-1 | Not For Loan | 25935 |
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| 006.31 GEH 2018 Hands-on machine learning with Scikit-Learn and TensorFlow : | 006.31 MIM 1997 Machine Learning / | 006.31 REI 2019 An introduction to machine learning / | 006.31 SII 2008 Introduction to genetic algorithms / | 006.312 AZD 2012 Data analysis and data mining : | 006.312 CLA 2013 Classification and data mining / | 006.312 CLA 2013 Classification and data mining / |
Includes bibliographical references (p. [425]-442).
TOC 1. Evolutionary Computation --
2. Genetic Algorithms --
3. Terminologies and Operators of GA --
4. Advanced Operators and Techniques in Genetic Algorithm --
5. Classification of Genetic Algorithm --
6. Genetic Programming --
7. Genetic Algorithm Optimization Problems --
8. Genetic Algorithm Implementation Using Matlab --
9. Genetic Algorithm Optimization in C/C++ --
10. Applications of Genetic Algorithms --
11. Introduction to Particle Swarm Optimization and Ant Colony Optimization.
Summary:
"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."--BOOK JACKET.
CSE
Tahur Ahmed
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