Partial disassembly sequence planning based on Pareto ant colony algorithm

被引：0
|
作者：
Xing Yu-Fei [1 ]
Liu Qiang [2 ]
机构：
[1] Shenyang Areosp Univ, Sch Mech & Elect Engn, Shenyang 100136, Peoples R China
[2] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun 113001, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Disassembly planning; Ant colony optimization; Pareto set; Multi-objective;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the the multi-objective disassembly planning problem, this paper proposed a multi-objective intelligent optimization algorithm base on Pareto set. To improve disassembly planning efficiency the ant colony optimization was utilized. The disassembly sequence feasibility was guaranteed by disassembly matrix, and the method of precedence relation inference was given. There are three major optimization objects were considered, respectively are minimizing total disassembly stroke, the disassembly sequence length and the times of direction change. Finally, an internal combustion engine with single cycle was used as a case to demonstrate the efficiency of and viability of the proposed method.
引用
收藏
页码：4804 / 4809
页数：6
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