DocumentCode
3148607
Title
The enhanced genetic algorithms for the optimization design
Author
Guo, Pengfei ; Wang, Xuezhi ; Han, Yingshi
Author_Institution
Sch. of Civil & Archit. Eng., Liaoning Univ. of Technol., Jinzhou, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2990
Lastpage
2994
Abstract
Three different kinds of the novel enhanced genetic algorithm procedures including the hybrid genetic algorithm, interval genetic algorithm and hybrid interval genetic algorithm are respectively presented. As the results of the proven systems show, the hybrid genetic algorithm can determines the better optimum design than the traditional optimization algorithms and genetic algorithm. The interval genetic algorithm and hybrid interval genetic algorithm can avoid calculating system slope in traditional interval analysis and determines the optimum interval range of the parameters under allowable corresponding objective error boundary. It is the first time that genetic algorithm has been applied to interval optimization process.
Keywords
genetic algorithms; hybrid interval genetic algorithm; interval analysis; interval genetic algorithm; interval optimization process; optimization design; optimum interval range; Algorithm design and analysis; Biological cells; Gallium; Genetic algorithms; Genetics; Optimization; Polynomials; genetic algorithms; hybrid genetic algorithm; hybrid interval genetic algorithm; interval genetic algorithm; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639829
Filename
5639829
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