Application of tread patterns noise-reduction based on self-adaptive fuzzy genetic algorithm
Sun Kang-ming · Computer Engineering and Applications Journal · 2009
In order to optimize the structure parameters of tread pattern and improve the efficiency of noise-reduction,Self-adaptive Fuzzy Genetic Noise-Reduction Algorithm(SFGNRA) has been proposed,which is also based on the prior Fuzzy Genetic Algorithm(FGA).In the improved algorithm,the relationship between crossover probability and mutation probability and individual's fitness is adopted,operators of Simple Genetic Algorithms(SGA) are improved,and simulated annealing methods are introduced after crossover to improve enhance the local search ability of genetic algorithm.Some experiments have been done by means of the software of TNT and ODS simulation,and the results show that the tread patterns noise should be reduced,and the merit project of structure parameters may be found.The research is successfully applied to the design of way for the low-noise tread patterns.