提出了一种基于遗传算法的非线性系统参数仿真优化方法，解决了非线性系统参数优化问题。
In this paper, an optimization method of non - lineal system parameters based on genetic algorithms is presented which solves the problem of parameter optimization in non - lineal systems.
同时采用基于EDA软件的仿真优化方法，对其进行了仿真优化设计，得出其在最优性能及较高的成品率下的各器件参数值。
It is simulated and optimized based on the method of EDA software. The parameter of different devices is calculated with optimum performance and higher yield.
对离散事件动态系统研究的仿真优化方法的最新进展进行了综述。根据仿真输入参数，分为连续参数方法和离散参数方法两种进行讨论。
A brief survey of the recent literature on discrete event simulation optimization is presented, and it separated into discrete and continuous input parameters.
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