The numerical simulation methodology and optimization algorithms are integrated to optimize gate location of mold design. A new optimization method of experience search is founded.
在此基础上，将数值模拟技术和优化算法相结合，提出了基于数值模拟技术的浇口位置的优化方法：经验搜索法。
A methodology of most dangerous sliding surface search and slope stability analysis is proposed by combining mixed genetic-simulated annealing algorithms with Sweden arc method.
利用遗传模拟退火算法结合瑞典圆弧法，寻找最危险滑裂面进行边坡稳定分析。
The obtained results underlies application of the GAs, and the suggested martingale analysis approach provides a new methodology for convergence analysis of genetic algorithms.
所获结果为遗传算法的实际应用奠定了理论基础，且所使用的鞅论分析方法为遗传算法研究提供了全新的分析工具。
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