Application of hybrid genetic algorithm in optimization formula system

被引：4

作者：

Jie C. ^{[1
]}

Yun Y. ^{[1
]}

机构：

[1] School of Electric and Information Engineering, Shaanxi University of Science and Technology, Xi'an

来源：

ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer | 2010年 / 4卷

关键词：

Complex method; Genetic algorithm; Hybrid genetic algorithm; Optimization formula system;

D O I：

10.1109/ICETC.2010.5529717

中图分类号：

学科分类号：

摘要：

In order to find the best method to solve the problem of multi-objective function optimization,we propose a hybrid genetic algorithm which combines genetic algorithm with complex method.The algorithm first uses genetic algorithm to get an initial population and replaces original feasible points by the computation results of complex method, then it uses genetic algorithm to find the optimal solution. Whentermination conditions are met, complex method is used to get the final result. Experiment has been conducted to validate the propoesd algorithm by taking optimization formula system as an example. The results shows that we got the best percentage of formula,and the propoesd algorithm is more accurate than the simple genetic algorithm and complex method ,which has a good prospect of application in the area of optimization design. © 2010 IEEE.

引用

页码：V4130 / V4134

页数：4

共 9 条

[1]

De Giovanni L., Pezzella F., An improved genetic algorithm for the distributed and flexible job-shop scheduling problem, European Journal of Operational Research, 200, pp. 395-408, (2010)

[2]

Hu S.-Y., Cheng J.-H., Development of the unlocking mechanisms for the complex method, Computers and Structures, 83, pp. 1991-2002, (2005)

[3]

Hakimi-Asiabar M., Ghodsypour S.H., Kerachian R., Multi-objective genetic local search algorithm using Kohonen's neural map, Computers & Industrial Engineering, 56, pp. 1566-1576, (2009)

[4]

Leardi R., Genetic algorithms, Comprehensive Chemometrics, 1, pp. 631-653, (2009)

[5]

Li S., Ding L., Zhao L., Zhou W., Optimization design of arch dam shape with modified complex method, Advances in Engineering Software, 40, pp. 804-408, (2002)

[6]

Kim M.S., Il Lee W., Han W.S., Vautrin A., Park C.H., Thickness optimization of composite plates by Box's complex method considering the process and material parameters in compression molding of SMC, Composites, 40, pp. 1192-1198, (2009)

[7]

Paszkowicz W., Properties of a genetic algorithm equipped with a dynamic penalty function, Computational Materials Science, 56, pp. 77-83, (2009)

[8]

Bazzazi M., Safaei N., A genetic algorithm to solve the storage space allocation problem in a container terminal, Computers & Industrial Engineering, 56, pp. 44-52, (2009)

[9]

Ooka R., Komamura K., Optimal design method for building energy systems using genetic algorithms, Building and Environment, 45, pp. 1538-1544, (2009)

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