关键词: 选择装配, 多目标进化算法, 装配质量, 个体聚集密度, 机械产品

Abstract: Aiming at the selective assembly problem for mechanical products with multi-objective and multi-quality assembly function,a method based on Density-based Multi-objective Evolutionary Algorithm(DMOEA) was proposed.Considering the relationship between dimension chains and dimensions,a selective assembly model under the requirement of multi-objective and multi-quality was established with the success rate of selective assembly and assembly accuracy which were the optimization objectives.Using natural number coding,a random sequence with the dimension index of a part was used as a paired coded gene.The fitness function was defined by individual aggregation density,and the selective assembly problem with multi-objective was solved by DMOEA,which realized the optimization of multi-objective and multi-quality assembly function.A part selective-assembly system based on DMOEA was developed,and was applied to a company's products,the feasibility and effectiveness of the proposed method were verified.

Key words: selective assembly, multi-objective evolution algorithm, assembly quality, individual aggregation density, mechanical products