2.2 改进单纯形优化法(Modified simplex method) 单纯形优化法是近年来应用较多的一种多因素优化方法。它是一种动态调优的方法，不受因素数的限制。
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结果表明，改进单纯形优化法的灵敏度比传统方法有所提高，实验次数少，线性关系良好。
The result indicates that this way has some advantages as follows compared to the traditional method:higher sensitive, less time of experiment and linear relationship.
本文应用改进的单纯形优化法较好地弥补了目前在分析化学计量学中得到广泛应用的卡尔曼滤波法所存在的不足。
The modified simplex optimization is used to remedy the drawbacks of Kalman filter method which is widely applied in analytical chemometrics.
为了适应复杂机械产品优化设计，提出一种修正的单纯形法，并用来改进模拟退火算法。
In order to adapt to the optimization of the complex mechanical products, a new simplex method is presented. Then the simulated annealing algorithm is improved by using the new method.
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