火力与指挥控制2017，Vol.42Issue(11)：97-102,106,7.DOI:10.3969/j.issn.1002-0640.2017.11.21
基于多群体改进萤火虫算法的装配序列规划
Assembly Sequence Planning Based on Multi- Intelligence Improved Glowworm Swarm Optimization Algorithm
张琦 1程培源 1程月蒙1
作者信息
- 1. 空军工程大学防空反导学院,西安 710051
- 折叠
摘要
Abstract
In order to solve the problem of assembly sequence optimization of mechanical products,a new assembly sequence planning method based on multi group improved glowworm swarm optimization is proposed. Firstly,the mathematical model of assembly sequence planning is established. Aiming at the shortage of glowworm swarm optimization convergence efficiency,using SFLA population division thought improved the firefly algorithm,citing local search and global information exchange mechanism to enhance the performance of the algorithm. Then according to the characteristics of the discrete assembly sequence planning problem,the definition of discrete encoding and new particle update strategy. Finally,the simulation results show that the improved algorithm is simple and effective,the stability is better.关键词
装配序列/萤火虫优化算法/混合蛙跳算法Key words
assembly sequence planning/glowworm swarm optimization/shuffled frog leaping algorithm分类
信息技术与安全科学引用本文复制引用
张琦,程培源,程月蒙..基于多群体改进萤火虫算法的装配序列规划[J].火力与指挥控制,2017,42(11):97-102,106,7.
