A Genetic Algorithm with Local Searching Strategy and its Application

摘要：

　　A new genetic algorithm wit h local searching strategy is proposed in t his paper,which over comes the disadvantage oft he GA.It combines GA wit h BP algorithm.The global convergence of the new genetic algorithm is p roved by using Markovian chain theory.And the new GA proves that it is efficient to model in nonlinear system of oil fields.

关键词： genetic algorithm Markovain chain convergence

作者: Yingchun Liu Aitao Zhao

作者单位: Shijiazhuang Vocational Technology Institute,Modern Education Technology Center Shijiazhuang,China Shijiazhuang Vocational Technology Institute,Department of Information Technology Shijiazhuang,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 2345-2348

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）