[1]齐平 贾瑞玉 贾兆红 王会颖.用遗传模拟退火算法挖掘特征项权重的研究[J].计算机技术与发展,2007,(02):143-145.
　QI Ping,JIA Rui-yu,JIA Zhao-hong,et al.Using Genetic- Simulated Annealing Algorithm to Find Attribute Weighting[J].,2007,(02):143-145.
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用遗传模拟退火算法挖掘特征项权重的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年02期
页码:
143-145
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Using Genetic- Simulated Annealing Algorithm to Find Attribute Weighting
文章编号:
1673-629X（2007）02-0143-03
作者:
齐平1; 2 贾瑞玉1; 2 贾兆红1; 2 王会颖1; 2
[1]安徽大学计算机学院[2]安徽大学计算智能与信息处理教育部重点实验室
Author(s):
QI Ping; JIA Rui-yu; JIA Zhao-hong; WANG Hui-ying
[1]School of Computer Science, Anhui University[2]Ministry of Education Key Lab, of Intelligent Computing and Signal Processing, Anhui Univ
关键词:
遗传算法; 模拟退火算法; 权重; 范例推理
Keywords:
genetic algorithm;  genetic - simulated annealing algorithm;  weighting;  case - based reasoning
分类号:
TP18
文献标志码:
A
摘要:
能否在范例库中检索和选择出最为相似的范例决定了范例推理系统性能。文中介绍了遗传算法和模拟退火算法，比较了两种算法的特性．提出一种混合遗传模拟退火算法。该算法不但具有强的局部搜索能力．还缩短了搜索时间。将该算法用于发掘范例库上特征权重，理论分析和实验结果表明了这种混合遗传模拟退火算法优于普通的遗传算法
Abstract:
This article introduces two algorithms, genetic algorithm and simulated annealing algorithm, and puts forward one weighting method by using genetic - simulated annealing algorithm. This algorithm not only has the strong partial searching ability,moreover also reducers the .searching time. The theoretical analysis and experimental results show that this method has better performance than other methods, by using this algorithm to find the characteristic weighting of case base

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备注/Memo

备注/Memo:
安徽省教育厅科研项目（2005kj055;2005kj056）齐平（1981-），男，安徽枞阳人，硕士研究生，研究方向为机器学习、知识发现；贾瑞玉，副教授，硕士生导师，研究方向为专家系统、神经网络、知识发现
更新日期/Last Update: 1900-01-01