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基于免疫遗传算法的低噪声轮胎花纹结构参数优化
引用本文:陈理君,何灿,李福军,吴桂忠.基于免疫遗传算法的低噪声轮胎花纹结构参数优化[J].轮胎工业,2006,26(11):653-657.
作者姓名:陈理君  何灿  李福军  吴桂忠
作者单位:1. 武汉理工大学,自动化学院,湖北,武汉,430070
2. 北京橡胶工业研究设计院,北京,100039
摘    要:在遗传算法的基础上引入免疫概念,提出免疫遗传算法,并进行轮胎花纹结构参数优化。免疫遗传算法有效克服了遗传算法易退化、早熟、速度慢和解单样性等缺陷,加强了轮胎花纹低噪声优化过程中的收敛性和优化适应性,提高了优化速度和可信度,并能使解多样性,扩大了设计选择空间。

关 键 词:轮胎  花纹噪声  免疫遗传算法  节距
文章编号:1006-8171(2006)11-0653-05

Optimization of structural parameters of tread patterns based on immune genetic algorithm
CHEN Li-jun,HE Can,LI Fu-jun and WU Gui-zhong.Optimization of structural parameters of tread patterns based on immune genetic algorithm[J].Tire Industry,2006,26(11):653-657.
Authors:CHEN Li-jun  HE Can  LI Fu-jun and WU Gui-zhong
Affiliation:1. Wuhan University of Technology,Wuhan 430070,China;2.Beijing Research and Design Institute of Rubber Industry,Beijing 100039,China
Abstract:The immune concept was introduced based on the genetic algorithm to propose an immune genetic algorithm,by which the structural parameters of tread patterns were optimized.The defects,such as susceptive degeneration,premature,low speed and monosolution of genetic algorithm,were eliminated by using immune genetic algorithm,at the same time,the convergence during the optimization of tread patterns' noise and the adaptability of optimization improved,the speed and confidence of optimization increased,and the multi-solutions were obtained to provide more choices in design.
Keywords:tire  tread patterns' noise  immune genetic algorithm  pitch
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