A kind of software test data automated generation method based on simulated annealing genetic algorithms is proposed.
提出了一种应用于软件测试中的基于模拟退火遗传算法的测试数据自动生成算法。
It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.
本算法比遗传算法和模拟退火算法更适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题，仿真实验结果表明本算法是很有效的。
To solve the same group data, the third method (Genetic-Simulated Annealing) is more efficiency.
对同一组数据的求解，第三种遗传退火算法优化效率更高。
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。
On depth, Attribute Weighed method and Simulated Annealing Genetic algorithm are proposed to enhance the accuracy and environment adapting ability.
深度上提出了属性加权和模拟遗传退火两种改进方案，增进了预测的准确度和环境适应能力。
The results of simulation show that this method, which is called genetic simulated annealing approach, is feasible and efficient for improving the computing performance a…
仿真结果表明，这种遗传模拟退火算法切实可行，它能够有效地提高路径规划的计算速度和保证路径规划的质量。
The results of simulation show that this method, which is called genetic simulated annealing approach, is feasible and efficient for improving the computing performance a…
仿真结果表明，这种遗传模拟退火算法切实可行，它能够有效地提高路径规划的计算速度和保证路径规划的质量。
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