Study on Tire Tread Pattern Pitch Parameter OptimizationBased on Adaptive Immune Genetic Algorithm

CHEN Xia;CHEN Lijun;Yiqing;XIAO Wangxin

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (8) : 94-98.

PDF(1346 KB)
PDF(1346 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (8) : 94-98.
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Study on Tire Tread Pattern Pitch Parameter OptimizationBased on Adaptive Immune Genetic Algorithm

  • CHEN Xia ; CHEN Lijun; Yiqing; XIAO Wangxin
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Abstract

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.


Key words

tire tread pattern / pitch parameter / optimization / adaptive immune genetic algorithm

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CHEN Xia;CHEN Lijun;Yiqing;XIAO Wangxin. Study on Tire Tread Pattern Pitch Parameter OptimizationBased on Adaptive Immune Genetic Algorithm[J]. Journal of Vibration and Shock, 2010, 29(8): 94-98
PDF(1346 KB)

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