基于免疫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 based on immune genetic algorithm

作　　者：陈理君[1] 何灿[1] 李福军[2] 吴桂忠[2] 

机构地区：[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

出　　处：《轮胎工业》2006年第11期653-657,共5页Tire Industry

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。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.

关 键 词：轮胎 花纹噪声 免疫遗传算法 节距 

分 类 号：TQ336.1[化学工程—橡胶工业] TB533.2[理学—物理]