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Journal of Zhejiang University SCIENCE A 2003 Vol.4 No.5 P.532~541

http://doi.org/10.1631/jzus.2003.0532


Solving geometric constraints with genetic simulated annealing algorithm


Author(s):  LIU Sheng-Li, TANG Min, DONG Jin-Xiang

Affiliation(s):  Department of Computer Science, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   jslsl75@yahoo.com.cn, ang-m@zju.edu.cn

Key Words:  SAGA, Geometric constraint solving, Variational design


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LIU Sheng-Li, TANG Min, DONG Jin-Xiang. Solving geometric constraints with genetic simulated annealing algorithm[J]. Journal of Zhejiang University Science A, 2003, 4(5): 532~541.

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Abstract: 
This paper applies genetic simulated annealing algorithm (SAGA) to solving geometric constraint problems. This method makes full use of the advantages of SAGA and can handle under-/over- constraint problems naturally. It has advantages (due to its not being sensitive to the initial values) over the Newton-Raphson method, and its yielding of multiple solutions, is an advantage over other optimal methods for multi-solution constraint system. Our experiments have proved the robustness and efficiency of this method.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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