Optimal Design of Structure Using Relative Diffrence Quotient Algorithm and Improved Genetic Agorithm

The optimization design of structure with discrete variables is generally a combinatorial optimization problem. Being simple genetic algorithm has the defects of premature phenomenon, slow convergence speed and poor stability, a hybrid genetic algorithm is proposed to deal with structure optimizatio...

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Bibliographic Details
Published in2010 Third International Conference on Information and Computing Vol. 4; pp. 336 - 339
Main Authors Sun Guofu, Ge Yanhui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Algorithm design and analysis
Biological cells
Constraint optimization
Convergence
Design optimization
Genetic Algorithm
Genetic algorithms
Genetic mutations
Optimal Design
Optimization methods
Pattern recognition
Relative Difference Quotient
Stability
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Summary:The optimization design of structure with discrete variables is generally a combinatorial optimization problem. Being simple genetic algorithm has the defects of premature phenomenon, slow convergence speed and poor stability, a hybrid genetic algorithm is proposed to deal with structure optimization based on relative difference quotient method and improved genetic algorithm. The advantages of genetic algorithm in global optimization and relative difference quotient method in local searching ability are both included in this method. A numerical example of a 25-bar frame was given to demonstrate the validity and feasibility in its application, and the experimental results show that the hybrid GA can obtain better results than other optimal design methods in structure optimal design.
ISBN:9781424470815
1424470811
ISSN:2160-7443
DOI:10.1109/ICIC.2010.356