The Truss Structural Optimization Design Based on Improved Hybrid Genetic Algorithm

Feng Guo Jiang; Zhen Qing Wang

doi:10.4028/www.scientific.net/AMR.163-167.2304

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 163-167The Truss Structural Optimization Design Based on...

The Truss Structural Optimization Design Based on Improved Hybrid Genetic Algorithm

Abstract:

Genetic arithmetic operators in genetic algorithm be improved , and a hybrid genetic algorithm of a gradient algorithm combining with the genetic algorithm be given against to the defects such as premature，slow on convergence rate，weak in the ability of local search ，all these appeared on the progress of genetic algorithm's iteration. Analysis result indicate that not only strong on the local search capacity of gradient algorithm be exhibited but also strong on the general search capacity of genetic algorithm be combined based on the hybrid genetic algorithm ,which make phenomenon of premature avoid, and the rate of convergence be improved greatly. Concrete calculated example indicated that the hybrid genetic algorithm is an effective structural optimization method.

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Periodical:

Advanced Materials Research (Volumes 163-167)

Pages:

2304-2308

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.163-167.2304

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Online since:

December 2010

Authors:

Feng Guo Jiang, Zhen Qing Wang

Keywords:

Genetic Algorithm (GA), Gradient Algorithm, Hybrid Genetic Algorithm, Structure Optimization

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