遗传算法在轮胎结构多目标优化设计中的应用

在轮胎结构设计中应用一种基于共享小生境技术的遗传算法(简称Pareto GA),用来求解多目标优化问题的Pareto最优解集合。在综合考虑轮胎带束层的耐久性和轮胎重量的基础上,通过三维有限元分析和室内耐久性试验建立了优化轮胎带束层的数学模型,采用Pareto遗传算法对该数学模型进行求解,获得了分散性很好的Pareto最优解集合。为了检验优化的效果,应用三维有限元分析技术,对优化胎与原胎进行了分析与对比。结果表明,该优化过程达到了预期的目的。

APPLICATION OF GENETIC ALGORITHM TO MULTIOBJECTIVE OPTIMIZATION OF TIRE STRUCTURE

A genetic algorithm(Pareto GA), based on a sharing niche technique, is applied to search a Pareto optimal set in a multiobjective optimization problem. On the basis of considering synthetically the belt durability and tire weight, a mathematical model was founded by a three dimensional finite element analysis and indoor durability test. The mathematical model was calculated by means of Pareto GA, and the Pareto optimal set, which was dispersed well, was attained. In order to evaluate the result of optimization, the tire with the optimized belt structure was analyzed by the three dimensional finite element analysis technology, and the analysis result was compared with that of the original tire. The result shows that the goal of optimization is achieved.