对退火机理进行了初步讨论。
然后，为了加快遗传算法的收敛速度减少算法执行时间引入模拟退火机制对上述算法进行优化。
Then the mechanism of Simulated Annealing is import in the algorithm above to decrease the execution time and quickens the velocity of convergence.
对协同识别中的参数进行了深入的理论分析，并提出了一种基于模拟退火机制的参数优化方法；
We also abstractly analyze the parameters of synergetic recognition approach, and purpose a novel parameters optimization method based on simulated annealing mechanism.
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