A Genetic Algorithm with Local Searching Strategy and its Application

被引：0
|
作者：
Liu, Yingchun [1 ]
Zhao, Aitao [2 ]
机构：
[1] Modern Educ Technol Ctr, Shijiazhuang Vocat Technol Inst, Shijiazhuang, Peoples R China
[2] Shijiazhuang Vocat Technol Inst, Dept Informat Technol, Shijiazhuang, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词：
genetic algorithm; Markovain chain; convergence;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new genetic algorithm wit h local searching strategy is proposed in t his paper, which over comes the disadvantage of t 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.
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页数：4
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