通过大量模拟器驾驶实验，建立驾驶操作和驾驶员生理指标之间的关系模型，并运用最小二乘法对数学模型进行了参数识别。
Through a large number of experiments on vehicle driving simulator, parameters of driving operation and physiological indexes were collected at the same time.
并通过大量的空战模拟，证明了这种火控过程的可行性。
The feasibility of the fire control process is seen through some simulations of aerial combats.
本文应用带记忆功能的模拟退火演算法，结合理论分析和经验法则，通过大量试验确定了一组有效的冷却进度表参数，成功地解决了这个复杂而特殊的背包问题。
By making use of simulated annealing algorithm with memory, and determining a set of effective cooling schedule, the thesis solves this complex and special knapsack problem successfully.
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