THE TERMINATION OF THE UNCERTAINTY OF GENETIC ALGORITHM

被引：0
|
作者：
Wang Aosheng [1 ]
Zhou Fei [2 ]
机构：
[1] Henan Qual Polytech, Pingdingshan 467001, Henan, Peoples R China
[2] Pingdingshang Ind Coll Technol, Pingdingshan, Herts, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND TECHNOLOGY (ICMET 2011) | 2011年
关键词：
genetic algorithm; measurement of uncertainty; termination;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. Put Abstract text here. At present, the genetic algorithm has always taken the optimization of generation, the approximate distance and the time constraints by the end of optimization as the termination conditions. The approximate value has the uncertain characteristic when the algorithm is finished, which can't meet the approximate demands in practical application. According to the uncertain needs of measurement, it is necessary to consider the measurement of uncertainty as the termination condition of genetic algorithm in the process of evaluation measurement. We should employ the important model for evaluation in the realization of algorithm. It is required to use the short important model to accumulate the long high-order model. When the blocks model meets the requirements of uncertainty, the algorithm will be finished.
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页码：587 / +
页数：3
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