Introduction to genetic algorithms

Designed to provide knowledge on the basic operational features and characteristics of Genetic Algorithms. This book also explores the different types of Genetic Algorithms available along with their importance. It contains basic concepts, several applications of Genetic Algorithms and solved Geneti...

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Bibliographic Details
Main Author: Sivanandam, S. N.
Other Authors: Deepa, S. N.
Format: Electronic
Language:English
Published: Berlin ; New York : Springer, 2007.
Subjects:
Online Access:View fulltext via EzAccess
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245 1 0 |a Introduction to genetic algorithms  |c S.N. Sivanandam, S.N. Deepa.  |h [electronic resource] / 
260 # # |a Berlin ;  |a New York :  |b Springer,  |c 2007. 
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505 0 # |a Front Matter; Evolutionary Computation; Genetic Algorithms; Terminologies and Operators of GA; Advanced Operators and Techniques in Genetic Algorithm; Classification of Genetic Algorithm; Genetic Programming; Genetic Algorithm Optimization Problems; Genetic Algorithm Implementation Using Matlab; Genetic Algorithm Optimization in C/C++; Applications of Genetic Algorithms; Introduction to Particle Swarm Optimization and Ant Colony Optimization; Back Matter. 
520 # # |a Designed to provide knowledge on the basic operational features and characteristics of Genetic Algorithms. This book also explores the different types of Genetic Algorithms available along with their importance. It contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++. 
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776 0 8 |a Sivanandam, S.N.  |d Berlin ; New York : Springer, 2007  |i Print version:  |t Introduction to genetic algorithms.  |w (OCoLC)166357929  |w (DLC) 2007930221  |z 354073189X  |z 9783540731894 
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