Introduction - If you have any usage issues, please Google them yourself
Genetic Algorithms (GA) is a search algorithm based on natural selection principle and natural genetic mechanism. It simulates the mechanism of life evolution in nature and achieves the optimization of specific targets in artificial system. The essence of the genetic algorithm is by the group search technology, according to the principle of survival of the fittest, and finally get the optimal solution or the quasi optimal solution. It must do the following: the generation of initial population, for each individual to adapt to the excellent individual 22 degrees, according to the principle of survival of the fittest, select excellent individuals selected by random chromosome pairing, cross gene and random mutation of some genes on the next generation after generation, according to this method makes the group from generation to generation until the termination condition of evolution, evolution.(it can be used for Path optimization)