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基于遗传算法与C#的转向梯形优化软件设计

Optimization Software Design for Ackerman Steering Linkage Based on GA and C#
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摘要 整体式转向梯形的优化是一个对有约束条件的非线性函数进行寻优的过程.以GA为基础算法,利用Matlab与C#混合编程的方法,开发了能够准确、快速、方便地进行整体式转向梯形优化的软件,并进行了实例计算.结果表明:优化后的目标函数值降低明显;梯形臂长对优化结果的影响较小,而传动角下限值的影响较大. The optimization of Ackerman steering linkage is an optimizing process for a non-linear function with some constraints. Based on Genetic Algorithm (GA) and with the help of mixed programming technique with Matlab and C#, the optimization software of Ackerman steering linkage is developed and the verification is carried out with an example. The result shows that the method can complete the whole analytical process accurately, quickly and conveniently, and it can significantly reduce the objective function value. The change of trapezoid arm length of the linkage has a less influence on the optimization result comparing with that of the lower limit value of its driving angle.
出处 《车辆与动力技术》 2012年第4期54-57,共4页 Vehicle & Power Technology
关键词 整体式转向梯形 遗传算法 混合编程 Ackerman steering linkage Genetic Algorithm (GA) mixed programming
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