Design Solution Optimization with Ant Colony Optimization

被引：0
|
作者：
Kang, Yuyun [1 ]
Tang, Dunbing [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Jiangsu, Peoples R China
来源：
2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2 | 2012年
关键词：
concept design; solution optimization; Ant colony optimization;
D O I：
10.1109/ISCID.2012.222
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Early in product design, existing automated concept generators use existing knowledge and the desired function to suggest solutions. These methods produce many candidate solutions, but often provide unmanageably large sets of solutions. So techniques are needed to organize the set of solutions into smaller groups. This paper presents an automated concept optimization method. Ant colony optimization (ACO) is used to optimize the generated conceptual candidate solutions automatically. A software prototype is developed and a case study of transmission mechanism of loading platform is detailed.
引用
收藏
页码：282 / 285
页数：4
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