基于免疫遗传算法的装配序列规划  

Assembly Sequences Planning Based on the Immune Genetic Algorithm

作　　者：赵学中[1] 黄宗南[1] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072

出　　处：《现代机械》2008年第6期56-58,87,共4页Modern Machinery

摘　　要：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.

关 键 词：装配序列 免疫遗传算法 矢量距 疫苗接种 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.72[自动化与计算机技术—控制科学与工程]