Title :
Optimal Design of Structure Using Relative Diffrence Quotient Algorithm and Improved Genetic Agorithm
Author :
Guofu, Sun ; Yanhui, Ge
Author_Institution :
Sch. of Bus. Adm., Shandong Univ. of Finance, Jinan, China
Abstract :
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.
Keywords :
combinatorial mathematics; genetic algorithms; combinatorial optimization problem; genetic algorithm; genetic algorithm improvement; optimal design; relative diffrence quotient algorithm; Algorithm design and analysis; Biological cells; Constraint optimization; Convergence; Design optimization; Genetic algorithms; Genetic mutations; Optimization methods; Pattern recognition; Stability; Genetic Algorithm; Optimal Design; Relative Difference Quotient;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.356