Research on Optimization of Genetic Algorithm

The genetic algorithm's parallel processing and openness makes it highly efficient in the optimized recognition,moreover receives more and more extensive research.However,it also has some shortcomings.On the one hand,in the process of seeking the superior seeds,it may be easy to appear precociously,and with the increase of the design variable,the effectiveness is fairly lower,more time is spent.Through the improved strategy based on the niche technical and the multi-father body variable rank hybrid,the genetic algorithm optimized performance(optimized efficiency and quality) is greatly improved.