基于遗传算法的补偿滑轮组变幅机构多目标模糊优化

由于补偿滑轮组变幅机构在起重机械中工作特点的需要，传统的单目标优化方法和优化数值解法，在同时满足设计的经济性与稳定性以及优化解的方面存在不足，基于此，本文采用了综合考虑机构稳定性和经济性的多目标优化模型，利用模糊理论建立了综合评价函数，在数值方法上应用求解精度高的遗传算法，具体算例的优化结果与文献1]比较，在经济性与稳定性等各项技术上都获得了改善。

Multi- objective Fuzzy Optimum Design of Tackle - block Mechanism Compensating Amplitude of Variation Based on Genetic Algorithm

For work feature of tackle-block mechanism compensating amplitude of variation on machinery lifting, using traditional mono-objective optimization and numerical solution on design of the mechanism, the optimum result can not satisfy the requirement of economy and stability in the meantime and is not accurate enough. 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 on the example are improved in comparison with those of Sun's book.