Introduction to Genetic Algorithms

• Main Authors: Sivanandam, S.N (Author), Deepa, S.N (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Genetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first lai...

Table of Contents:

• 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
• to Particle Swarm Optimization and Ant Colony Optimization.