The Optimization of Curve Based on Genetic Algorithm and Energy Method

Abstract:

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An optimization method based on genetic algorithm and energy method is presented to construct a fairing curve network from unconnected sectional curves. The curve’s quality is evaluated by its energy. The parameters of the intersecting points on existing curves are adopted as variable and genetic algorithm is used to optimize the energy of curve based on multi-parent crossover operator. The examples show that the interpolated surface of optimized curve network has good quality than other methods, which proves our method actually improves curve networks’ quality.

Info:

Periodical:

Edited by:

Xiaodong Zhang, Zhijiu Ai, Prasad Yarlagadda and Yun-Hae Kim

Pages:

227-230

DOI:

10.4028/www.scientific.net/AMR.338.227

Citation:

G. He et al., "The Optimization of Curve Based on Genetic Algorithm and Energy Method", Advanced Materials Research, Vol. 338, pp. 227-230, 2011

Online since:

September 2011

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Price:

$35.00

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