基于免疫遗传算法的装配序列规划

Assembly Sequences Planning Based on the Immune Genetic Algorithm

针对常用免疫遗传算法在求解装配序列时搜索速度较慢、求解可行优解困难的问题,采用矢量距浓度计算方法,提高了种群的多样性;采用接种关联约束疫苗、静态联接疫苗方法,提高了算法求解可行优解的能力,加快了收敛速度。以某控制器为实例,验证了该方法的优越性。

An improved immune genetic algorithm was applied to solve the problem of slow search speed and getting feasible answer hard in optimizing assembly sequences. Vector distance were ehosed to improve population＇s diversity;While inoculating vaccine of Cormection constraints was available for enhancing the convergence speed. The optimizing example of a controller shown the advantage of the algorithm.