CLC number: TP391.72
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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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.
@article{title="Solving geometric constraints with genetic simulated annealing algorithm",
author="LIU Sheng-Li, TANG Min, DONG Jin-Xiang",
journal="Journal of Zhejiang University Science A",
volume="4",
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pages="532-541",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0532"
}
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T1 - Solving geometric constraints with genetic simulated annealing algorithm
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A1 - TANG Min
A1 - DONG Jin-Xiang
J0 - Journal of Zhejiang University Science A
VL - 4
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%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2003.0532
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.
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