Optimization Method Based on a Mix Strategy

Xu Yin; Ai Min Ji

doi:10.4028/www.scientific.net/AMR.816-817.1154

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 816-817Optimization Method Based on a Mix Strategy

Optimization Method Based on a Mix Strategy

Abstract:

To solve problems that exist in optimal design such as falling into local optimal solution easily and low efficiency in collaborative optimization, a new mix strategy optimization method combined design of experiments (DOE) with gradient optimization (GO) was proposed. In order to reduce the effect on the result of optimization made by the designers decision, DOE for preliminary analysis of the function model was used, and the optimal values obtained in DOE stage was taken as the initial values of design variables in GO stage in the new optimization method. The reducer MDO problem was taken as a example to confirm the global degree, efficiency, and accuracy of the method. The results show the optimization method could not only avoid falling into local solution, but also have an obvious superiority in treating the complex collaborative optimization problems.

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Periodical:

Advanced Materials Research (Volumes 816-817)

Pages:

1154-1157

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.816-817.1154

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Online since:

September 2013

Authors:

Xu Yin, Ai Min Ji

Keywords:

Collaborative Optimization, Design of Experiment (DOE), Gradient Optimization (GO), Local Solution, Mix Strategy

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