The Elite Population Genetic Fuzzy Control Research In Optimal Control

The fuzzy control and genetic algorithm basic theory is described in this article, summed up the general genetic algorithm to optimize the fuzzy controller methods and processes, as a basis for algorithm improvement: The idea of generating an initial steady breeding populations, improved crossover and mutation Operators in the late genetic algorithm, when the population of individuals becoming more and more similar to the introduction of random individuals to maintain the diversity of the population, and to improve the algorithm convergence analysis, the improved optimization algorithm is applied to the fuzzy controller, and standard genetic contrast algorithm, better control effect.On the basis of improved genetic algorithm, commonly summarized several typical dual population structure, in the first class structure proposed an improved double population genetic algorithm that uses packet-mode selection operator and dislocation cross operator, when the loss of population diversity in the latter algorithm, introduced in the transport operator thought the golden ratio, the exchange of two outstanding individuals in the population, in order to increase the diversity of the population, to accelerate the convergence speed, enhanced search efficiency of the algorithm, with three common mathematical functions for improved algorithm for testing, and the general population dual algorithm for comparison, we can see that the improved algorithm searches the success rate is higher, faster convergence.On the basis of improved genetic algorithm, commonly summarized several typical dual population structure, in the first class structure proposed an improved double population genetic algorithm that uses packet-mode selection operator and dislocation cross operator, when the loss of population diversity in the latter algorithm, introduced in the transport operator thought the golden ratio, the exchange of two outstanding individuals in the population, in order to increase the diversity of the population, to accelerate the convergence speed, enhanced search efficiency of the algorithm, with three common mathematical functions for improved algorithm for testing, and the general population dual algorithm for comparison, we can see that the improved algorithm searches the success rate is higher, faster convergence.