基于遗传算法的铅球投掷过程分析  

ANALYSIS OF SHOT THROW PROCESS BASED ON GENETIC ALGORITHM

作　　者：王珂晟[1] 朱晓莹[1] 李永东[1] 

机构地区：[1]装甲兵工程学院工程力学室,北京100072

出　　处：《力学与实践》2004年第5期61-64,共4页Mechanics in Engineering

基　　金：高等学校骨干教师资助计划项目(GG130900021017)资助

摘　　要：运用有关力学知识建立了铅球投掷过程的数学模型,采用遗传算法对投掷过程进行优化,获得了投掷过程的各项最佳参数,并给出了最大的投掷距离.还对铅球投掷过程中的影响因素进行了灵敏度分析,确定出各影响因素的主次关系,为制定科学的运动训练计划提供了参考依据.A mathematical model of shot throw process is put forward. The shot throw process is optimized by means of Genetic Algorithm. Various optimal parameters and the maximum throw distance are obtained. Moreover, the influential factors in the shot throw process are analyzed and compared. Thus, a scientific training plan can be worked out based on present study.

关 键 词：投掷 铅球 过程 力学知识 运动训练 参考依据 最大 计划 主次关系 制定 

分 类 号：O242.23[理学—计算数学] G824[理学—数学]