基于遗传算法的汽车滑行阻力系数测定方法  

A Method of Determining Vehicle Coasting Resistance Coefficient Based on Genetic Algorithms

作　　者：刘福才[1] 潘江华[1] 韩宗奇[1] 

机构地区：[1]燕山大学,秦皇岛066004

出　　处：《汽车工程》2003年第6期610-612,616,共4页Automotive Engineering

基　　金：清华大学汽车安全与节能国家重点实验室资助课题

摘　　要：把解超越方程组转化为一个函数在一定区域内的优化问题 ,利用遗传算法的全局搜索性和隐含并行性 ,通过实数编码 ,赌盘选择 ,算术交叉 ,均匀变异 ,同时采用最优保存策略 ,一代代地进行优化直到转化而成的函数收敛到零或接近于零为止 ,从而求出方程组的解 ,即为汽车滑行试验所需要确定的滑行阻力系数。In the paper,the solving of the transcendental equations is translated into a problem of optimizing a function in a definite area.By taking advantage of global searching and implicit parallelism of genetic algorithms,using float-point coding,roulette wheel selection,arithmetic crossover,uniform mutation,and adapting the optimal conservation strategy,it is evolved by generations until the function becomes zero or closes to zero.Finally the solution of the equations,i.e.the coasting resistance coefficient,is obtained,which is just what the coasting test searches for.

关 键 词：汽车 滑行阻力系数 遗传算法 函数收敛 测定 

分 类 号：U461[机械工程—车辆工程]