Introduction to genetic algorithms

• Main Author: Sivanandam, S. N.
• Other Authors: Deepa, S. N.
• Format: Electronic
• Language: English
• Published: Berlin ; New York : Springer, 2007.
• Subjects: Genetic programming (Computer science); Genetic algorithms.; Ingénierie.; Appl. Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics); COMPUTERS > Business Intelligence Tools. > Enterprise Applications; COMPUTERS > Intelligence (AI) & Semantics.; Electronic books.
• Online Access: View fulltext via EzAccess

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...

Table of Contents:

• 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.