它们的应用范围 很广，并能解决十分复杂的问题，其两个主要的子集是模拟退火算法（Simulated Annealing Algorithm，SAA）和遗传算法（Genetic Algorithm，GA）。
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模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
第二步是基于模型参数的图象分割算法，其核心是一个改进的多值模拟退火技术。
The second step is the image segmentation algorithm, whose key is the improved multiple-value simulated annealing technique.
研究基于直送的两阶段混合调度模型的模拟退火算法，其目标函数是最小化作业时间。
The paper studies the simulated annealing algorithm of two-stage hybrid scheduling model based on through transport, which the objective function is the minimized operation time.
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