DocumentCode :
3415076
Title :
Multi-objective optimization conceptual design of solar energy product based on hybrid genetic algorithm
Author :
Zhao, Tingting ; Ju, Zhenhe ; Wei, Xiaopeng ; Zhang, Shi ; Wang, Shuaijie ; Li, Xiaoxiao
Author_Institution :
Sch. of Manage., Dalian Univ. of Technol., Dalian, China
Volume :
1
fYear :
2010
fDate :
25-27 June 2010
Abstract :
For research on conceptual design of the complex product, it is necessary that a reliable theory is found to decide if the design structure is suit for custom requirement. The correlation matrixes among requirements, functions and structures are proposed. A block diagonal matrix of correlation matrix between functions and structures is given. The mathematical models of multi-object optimization structure design are provided, and then calculated by the hybrid genetic algorithm. An example for solar energy automobile is given to show that this method is able to realize optimization structure design fitting for the requirements. In addition, the approaches can provide good Pareto optimization solutions.
Keywords :
Pareto optimisation; design engineering; genetic algorithms; reliability theory; Pareto optimization; block diagonal matrix; hybrid genetic algorithm; multiobjective optimization conceptual design; optimization structure design fitting; reliable theory; solar energy automobile; solar energy product; Algorithm design and analysis; Design engineering; Design optimization; Genetic algorithms; Genetic engineering; Mathematics; Pareto optimization; Power engineering and energy; Reliability engineering; Solar energy; Conceptual design; Genetic algorithm; Multi-object optimization; Pareto optimization solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5540685
Filename :
5540685
Link To Document :
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