关键词: 装配精度, 选择装配, 强弱Pareto, 综合评价, 多目标进化算法

Abstract: Aiming at the selective assembly problem for mechanical product with multi-objective assembly function,a method based on strong-weak Pareto and genetic algorithm was proposed.An unified selective assembly information model oriented to 3D space was established based on the analysis of mechanical product's assembly characteristics,with which a comprehensive optimization model taking the assembly precision and assembly yield into consideration was constructed.A coding method taking tolerance item as unit was used and a comprehensive evaluation rule describing important relationship between assembly functions by concepts of strong-weak Pareto and crowed degree based on weighting coefficient was put forward.By considering the order of measured data from different tolerance items,a multi-objective genetic algorithm under the rule of comprehensive evaluation was used to achieve the high efficiency and best match solution in the process of selective assembly.A prototype system was developed and an example was tested to verify the feasibility of proposed approach.

Key words: assembly precision, selective assembly, strong-weak Pareto, comprehensive evaluation, multi-objective evolution algorithm