基于蚁群算法的引信装配序列优化  

Fuze Assembly Sequence Optimization Based on Ant Colony Algorithm

作　　者：王珍[1] 陈芳[1] 张杰[2] 

机构地区：[1]西安机电信息技术研究所,陕西西安710065 [2]西北工业大学机电学院,陕西西安710072

出　　处：《探测与控制学报》2014年第3期41-45,51,共6页Journal of Detection & Control

摘　　要：针对经验法确定的装配序列较多考虑几何约束条件,难以兼顾其他影响因素的问题,提出基于蚁群算法的引信装配序列优化方法。该方法利用蚁群算法具有的正反馈和分布式计算的特点,将蚁群算法引入引信机械机构进行装配序列优化。为了应用蚁群算法,依据引信产品的具体情况调整状态转移概率和信息素更新规则。仿真结果表明:通过评价指标引导算法生成的优化序列能较好地满足预期使用功能,装配方案合理、适用。Empirical method considers much more geometric constraints and much less of other factors.The ant colony algorithm was proposed to solve the problem of fuze assembly sequence,which had the characteristics of positive feedback and distributed computing.In order to apply ant colony algorithm,based on the specific needs of fuze products adj ust the state transition probabilities and pheromone updating rule.The simulation results show that：by optimizing the sequence evaluation index to guide the algorithm could meet the expected function, assembly scheme was reasonable and applicable.

关 键 词：装配序列规划 蚁群算法 优化 装配仿真 

分 类 号：TJ430.5[兵器科学与技术—火炮、自动武器与弹药工程]