在遗传算法的运行过程中溶入模拟退火算法，称为遗传模拟退火算法。
为了提高分割速度，给出了一种改进遗传模拟退火算法。
In order to increase the speed of segmentation, an improved genetic simulated annealing is given.
使用遗传模拟退火算法来实现含水层参数反演的函数优化问题。
The genetic-simulated annealing algorithm is applied to resolving the functional optimization problems of identifying the aquifer parameters.
利用遗传模拟退火算法结合瑞典圆弧法，寻找最危险边坡进行稳定分析。
The paper tries to find the stability analysis method of dangerousest slope with heredity simulation annealing algorithm and Swedish slipcircle method.
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