摘要
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 。
A genetic algorithm (Pareto GA), based on a sharing niche technique, is applied to search a Pareto optimal set 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 results 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 results shows that the goal of optimization is achieved.
出处
《复合材料学报》
EI
CAS
CSCD
北大核心
2002年第3期109-113,共5页
Acta Materiae Compositae Sinica
基金
中国博士后科学基金资助
关键词
遗传算法
轮胎
结构
多目标优化设计
Pareto最优解集合
Design
Finite element method
Genetic algorithms
Mathematical models
Optimization
Pareto principle
Strain
Three dimensional
