|
| Improved simulated annealing algorithm for cross-section design optimization of truss structures |
| Revised:June 14, 2004 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20065102 |
| KeyWord:simulated annealing,truss structure,cross-section optimization,genetic algorithm |
| GU Yuan-xian XIANG Bao-wei ZHAO Guo-zhong |
|
| Hits: 1339 |
| Download times: 8 |
| Abstract: |
| The simulated annealing(SA) algorithm is applied to the design optimization of cross-section sizes of bars of truss structures.Some approaches have been proposed to improve the basic procedures of SA algorithm such as the determination of initial temperature,the generation and acceptance of solutions,and the convergence criterion based on a newly defined relative precision.The important algorithm control parameters such as the number of random seeds and the length of Markovian chain are studied carefully by numerous tests.These improvements and studies have enhanced the robustness,efficiency and accuracy of the SA algorithm in the solution of structural design optimization problems.A certain number of traditional example problems and a relatively complicated 200-bar problem of cross-section design optimization for truss structures are solved with the present improved SA algorithm and compared with related examples in literatures.The solution accuracy is compared with the traditional structural optimization algorithms,and convergent efficiency is compared with the Genetic Algorithm(GA).The numerical results and comparisons of test examples have demonstrated that the improved SA algorithm of present paper has high solution precision,and its solution efficiency has noticeably increased to be much better than GA.It is hopeful to apply SA algorithm in structural design optimization to make use of its featured advantages. |
|
|
|