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

DOI

10.2991/iccet-15.2015.40How to use a DOI?

Keywords

Ant Colony Optimization (ACO); Traveling Salesman Problem (TSP); Truss Structure; Optimal Design; Discrete variable.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shi-Feng Li
AU  - Zhuo-Qun Zhang
AU  - Hong-Nan Li
AU  - Zongdong Ren
PY  - 2015/11
DA  - 2015/11
TI  - Optimal Design of Truss Structures based on the New Improved Ant Colony Optimization Algorithm
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 210
EP  - 214
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.40
DO  - 10.2991/iccet-15.2015.40
ID  - Li2015/11
ER  -