基于遗传算法的四连杆变幅机构多目标模糊优化

传统的四连杆变幅机构设计制造参数是基于单目标优化方法和优化数值解法选取的，在同时满足设计的经济性与稳定性以及优化解的精度方面存在不足。基于此，本文采用综合机构稳定性和经济性的多目标优化模型，利用模糊理论建立综合评价函数，应用求解精度高的遗传算法求解。具体算例的优化结果显示，经济性与稳定性等项技术指标都获得了改善。

Multi-objective fuzzy optimum design of four-bar luffing mechanism of variation based on genetic algorithm

The choosing of the parameter, belonging to the four-bar luffing mechanism of traditional lifting is based on the mono-object optimization and optimized numerical solution. However, there're still some shortcomings at the economy,the stability and the precision of optimum result. Based on that, multi-objective optimum design and genetic algorithm are applied, objective function comprehensive embodying stability and economy of the mechanism is established and evaluative function is raised by fuzzy theory. The technical indicators of multi-objective optimum result based on genetic algorithm are improved.