Accelerative genetic algorithm-based parameter optimization in storm intensity formula

摘要：

　　The genetic algorithm is an effective method to optimize model parameters,and to improve it,will accelerate the genetic algorithm is applied to the optimization of the return period storm intensity and rainfall parameters in the relationship with the traditional regression method and preferred-dregression optimization results are analyzed and compared.An example shows that:accelerative genetic algorithm for parameter estimation in storm intensity formula accuracy than traditional regression method and preferred regression parameters meter accuracy.

关键词： accelerative genetic algorithm storm intensity parameter optimization

作者: GUO Zhanglin ZHANG rui

作者单位: Department of civil engineering,North China Institute of Science and Technology,Beijing,101601 School of Economics Management,Hebei University of Engineering,handan,056038

会议类型: 国际会议

会议名称: 2013 International Conference on Advanced Engineering Materials and Architecture Sciences(2013先进工程材料与建筑科学国际会议)(ICAEMAS 2013)

会议地点: 西安

会议语种:英文

页码: 276-279

在线出版日期: 2013-07-27（万方平台首次上网日期，不代表论文的发表时间）