文章摘要
基于自适应遗传算法的低噪声轮胎花纹结构参数优化
Optimization of structural parameters of tread patterns for low noise tire based on adaptive genetic algorithm
  
DOI:
中文关键词: 轮胎  花纹  自适应遗传算法  噪声  优化
英文关键词: tire  tread patterns  adaptive genetic algorithm  noise  optimization
基金项目:国家自然科学基金资助项目(50708085)
作者单位
陈理君 武汉理工大学 自动化学院 
杨克琪 武汉理工大学 自动化学院 
肖旺新 武汉理工大学 自动化学院 
陈弘 杭州中策橡胶有限公司 
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中文摘要:
      在遗传算法的基础上引入自适应概念,提出自适应遗传算法,并用于低噪声轮胎花纹结构参数优化。自适应遗传算法有效克服了遗传算法易早熟收敛、搜索效率低等缺陷,提高了优化速度和效率,减少了收敛代数,软件稳定性改善。
英文摘要:
      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.
Author NameAffiliation
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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