Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm
[1]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.
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
32卷
Number of periods:
2011 06
Page number:
54-57
Column:
Public date:
2011-11-10
- Title:
- Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm
- Keywords:
- genetic algorithm ; simulated annealing algorithm ; optimal design
- CLC:
- TU323.4
- DOI:
- -
- 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.
- References:
- -
- Similar References:
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Last Update:
1900-01-01