Introduction to Genetic Algorithms

  • 7h 31m
  • S.N. Deepa, S.N. Sivanandam
  • Springer
  • 2008

The book contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++.

The salient features of the book include - detailed explanation of Genetic Algorithm concepts, - numerous Genetic Algorithm Optimization Problems, - study on various types of Genetic Algorithms, - implementation of Optimization problem using C and C++, - simulated solutions for Genetic Algorithm problems using MATLAB 7.0, - brief description on the basics of Genetic Programming, - application case studies on Genetic Algorithm on emerging fields.

In this Book

  • About the Book
  • 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
  • Bibliography
SHOW MORE
FREE ACCESS

YOU MIGHT ALSO LIKE

Book Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Channel Computational Thinking
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Book Generic Data Structures and Algorithms in Go: An Applied Approach Using Concurrency, Genericity and Heuristics