A Novel Strategy for Dynamic Risk Grading of Major Hazards Based on Evolutionary Algorithm

摘要：

In this paper,we present a novel evolutionaryalgorithm for dynamic risk grading of major hazards,which can be called DRGEA for short.And we detailthe construction theory of DRGEA from many aspectssuch as individual encoding,evolutionary operators,fitness function and so forth.In the numericalexperiment,DRGEA is used to solve a practicalproblem about dynamic risk grading of major hazards.The results of simulation experiments show thatDRGEA has better performances,compared withother classification methods.

作者: SHI Fa-en ZHU Neng

作者单位: School of Architecture & Survey Engineering,diangxi University of Science & Technology,Jiangxi 34100 School of Environment Science & Technology,Tianjin University,Tianjin 300072,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 533-540

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）