|
| The method of truss structure layout discrete variable optimization based on Ant Colony Optimization |
| Received:October 21, 2011 Revised:May 06, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201303004 |
| KeyWord:layout optimization Ant Colony Optimization (ACO) discrete variable truss structure Traveling Salesman Problem (TSP) |
| Author | Institution |
| 张卓群 |
大连理工大学建设工程学部, 大连 |
| 李宏男 |
大连理工大学建设工程学部, 大连 |
|
| Hits: 2857 |
| Download times: 2153 |
| Abstract: |
| The purpose of the truss structure layout optimization method is that cross-section,topology and shape variables unified discrete variables.The discrete variables have been transformed into the TSP problem variables to adapt the ant colony optimization algorithm.The MATLAB procedure of Truss Structure layout optimization has been developed to solve this problem.By checking some classical plane and space truss structure of the layout optimization examples by the MATLAB simplified procedure,in discrete system,it is considered that the result of layout optimization has much greater efficiency,compared to separate cross-section optimization,topology optimization and shape optimization,and is better than the other layout optimization algorithms.Although this paper presented that the method of truss structure layout optimization based on ant colony optimization is preliminary research in truss layout optimization method,the idea has shown good performance in program design,solution speed,solution space,and generality and so on.This algorithm is very simple,practical and suitable for engineering. |
|
|
|