自适应免疫遗传算法在轮胎花纹节距参数优化中的研究
Study on Tire Tread Pattern Pitch Parameter OptimizationBased on Adaptive Immune Genetic Algorithm
Pitch parameter optimization is the key in low noise tire tread patterns optimization design. In view of easy data explosion when optimizing tread patterns pitch, adaptive immune genetic algorithm (AIGA) was used, which is based on adaptive strategy and has fast searching ability to carry out the optimization analysis on the pitch sequence parameter and the pitch proportion parameter. Finally results indicate that the convergence and the efficiency of the algorithm are distinctly enhancede as compared with the genetic algorithm and immune genetic algorithm. The optimization results can reduce tread patterns noise level, and are of the project application value.
轮胎花纹 / 节距参数 / 优化 / 自适应免疫遗传算法 {{custom_keyword}} /
tire tread pattern / pitch parameter / optimization / adaptive immune genetic algorithm {{custom_keyword}} /
/
〈 | 〉 |