本文针对数据聚类分析和最优化问题的相似点，用模拟退火算法进行聚类分析。
In view of the similarities between data clustering analysis and optimization questions, this paper deals with data clustering analysis by using simulation anneal algorithms.
最后本文用模拟退火算法来优化测试调度，实验结果表明此算法调度的测试时间要比报道的结果都好。
Simulated annealing algorithm is used to get the optimum test solution, and it demonstrates its advantage over other solution published recently in test time.
用模拟退火算法改进BP神经网络，克服了BP神经网络极易陷入局部最优点的缺点，进一步提高了网络的性能。
Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.
提出了用混沌模拟退火法估计非线性马斯京根模型参数的优化算法。
This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
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