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PERFORMANCE OF GENETIC ALGORITHM USING CHROMOSOME REPAIRING FOR 2D STEEL FRAME STRUCTURE OPTIMIZATION

Journal: Academic Research International (Vol.4, No. 6)

Publication Date:

Authors : ;

Page : 493-500

Keywords : Optimization; SAP2000; genetic algorithm; steel structure; chromosome repairing;

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Abstract

Chromosome repairing process may influence the performance of Genetic algorithm (GA)in optimizing steel structure.The purpose of this paper is to discuss differences between results of 2D steel frame structure optimization with and without chromosome repairing(CR). Optimization processes are carried out through 2 types of 2D steel structure model using genetic algorithm (GA)-SAP2000. The first structure is designed according to AISC-LRFD and the second is designed according to AISC-ASD. GACR method results weight 15.50% for first structure model and 14.25% for second structure model less than GA’s. The proposed method saves 1.69% and 38.13% computation time than GA’s for the first and second structure models, respectively. It is concluded that GA with CR is very useful for steel frame structure optimization.

Last modified: 2014-01-04 20:27:05