Optimal Design of Truss Structures based on the New Improved Ant Colony Optimization Algorithm

被引：0
|
作者：
Li Shi-feng [1 ]
Zhang Zhuo-qun [1 ]
Li Hong-nan [2 ]
Ren zongdong [1 ]
机构：
[1] Design & Res Inst, State Nucl Power Planning, Beijing 100095, Peoples R China
[2] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND TRANSPORTATION 2015 | 2016年 / 30卷
关键词：
Ant Colony Optimization (ACO); Traveling Salesman Problem (TSP); Truss Structure; Optimal Design; Discrete variable;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper highlighted a new improved ant colony optimization algorithm was realized to deal with structures optimization problems efficiently, with several special improvements. The new algorithm procedure was written by the MATLAB language. The numerical simulation results demonstrated that this new methodology revealed more obvious advantage at truss structural optimization problems in discrete system. For the civil engineering designer, this new method is very simple and practical, and much more suitable.
引用
收藏
页码：210 / 214
页数：5
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