Genetic Algorithm using priority and its using wireless network optimization method

摘要

The present invention relates to a radio network optimization method and a method using genetic evolution him with priority, resolution dividing the problem into a number of parts to be problems, and as specified by one or genetic evolution the solution of the problem according to the number of portions corresponding to each of the priority issue through evolution by calculating the optimal solution satisfying the fit, real time means that to achieve the results that are within, priority is to provide a method and a radio network optimization genetic evolution using the same method using a. ; To this , the present invention using a gene evolution, priority method the method, problems dividing step of dividing the problem to be solved by the partial problems; Priority setting step of setting a priority for the subdivision of a portion of the problem; In accordance with the set priority, the first evolution step of evolution to specify at least one of the problems with possible evolution gene; To determine the suitability of the evolution of (first year) of the first evolution step, the second step of evolution to evolve to evolve as the gene specifying the fit according to the satisfaction of all of the problem; And determines the evolution of the fit of the second stage of evolution (second year), and an optimal solution generating step of generating the optimal solution satisfying the fit.