Research and Application of Parallel Genetic Algorithm

GA (genetic algorithm) is a simulation of natural evolution process and mechanism for solving the problem of a class of extreme self-organization, adaptive artificial intelligence techniques. It simulates Darwinian natural evolution and genetic variation of Bangladesh Lauderdale theory, has a solid biological basis; it provides views from the intelligence generation process simulation of biological intelligence, cognitive science has a distinct meaning; it for free expression or expression of any class function with parallel computing behavior can be realized; it can solve the practical problems of any kind, has extensive application value. This paper studies the genetic algorithm and parallel genetic algorithm problem, the historical origin of the algorithm, the biological basis of development and a rough description of the algorithm described in depth principle, theoretical analysis, and were illustrated using Matlab Genetic algorithm toolbox to solve, to make images, and finally summarized, and the genetic algorithm application in various fields are described.