| Optimization of structural parameters of tread patterns for low noise tire based on adaptive genetic algorithm |
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| DOI： |
| Key Words: tire；tread patterns；adaptive genetic algorithm；noise；optimization |
| Author Name | Affiliation | | CHEN Li-jun | Wuhan University of Technology | | YANG Ke-qi | Wuhan University of Technology | | XIAO Wang-xin | Wuhan University of Technology | | CHEN Hong | Hangzhou Zhongce Rubber Co.，Ltd |
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| Abstract: |
| Based on the genetic algorithm，the adaptive concept was introduced to propose an adaptive genetic algorithm，by which the structural parameters of tread patterns were optimized.The defects，such as premature convergence and inefficient search，were eliminated by using adaptive genetic algorithm.At the same time，the speed and efficiency of optimization increased，and the convergence algebra was reduced.The stability of software was also improved. |
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