# [1]赵艳敏,霍达..基于遗传模拟退火算法的钢桁架结构优化设计[J].郑州大学学报(工学版),2011,32(06):54-57. 　ZHAO Yan-min,HUO Da.Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm[J].Journal of Zhengzhou University (Engineering Science),2011,32(06):54-57. 点击复制 基于遗传模拟退火算法的钢桁架结构优化设计() 分享到： var jiathis_config = { data_track_clickback: true };

32

2011年06期

54-57

2011-11-10

## 文章信息/Info

Title:
Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm

Author(s):
1.Northerm Beijing Vocational Education Institute，Beijing 101400，China; 2.Faculty of Architectural Engineering，Beijing U-niversity of ’Technology ，Beijing 100022，China

Keywords:

TU323.4

A

Abstract:
To combine Cenetic Algorithm ( CA) with Simulated Annealing Algorithm (SA) that the CeneticSimulated Annealing Algorithm (SAGA) was proposed . It had the global searching ability of CA together withthe local fast converging ability of SA. It was applied to the steel truss structural optimization with discrete var-iables and this paper provided the comparison between SACA experiments and other optimal results. The ex-periments showed that the searching optimization probability of SACA was 100% and the average evolved gen-erations is 35 ,which indicated that SACA was more stable and had better seeking efficiency than improvedGA. The SACA improved the local searching ability and overcame evolution slowness defect of CA through ap-plying local searching annealing method.The SACA is an effective method to seek the optimal design of steeltrusses with discrete variables.

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