User's Attention Knowledge Learning in Interactive Evolutionary Computation

被引：0
|
作者：
Hao Guo-Sheng [1 ,2 ]
Gong Dun-Wei [1 ]
Yuan Jie [1 ]
Yan Yu-Ruo [2 ]
Yan Jun-Rong [2 ]
机构：
[1] China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221008, Jiangsu, Peoples R China
[2] Xuzhou Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
Evolutionary Computation; Interaction; User's Attention; Knowledge Learning; OPTIMIZATION; ALGORITHM;
D O I：
10.1109/CCDC.2009.5192415
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A user's attention in interactive evolutionary computation(IEC) is an important issue. The methods to learn the user's attention knowledge in IEC are studied in this paper. Firstly, the definition of the user's attention is given. Secondly, the user's attention on gene sense unit and some related theorems are given. Based on these theorems, the methods to learn the user's attention knowledge are presented. Thirdly, a new method to improve the performance of IEC based on the user's attention knowledge is given. The experiments validate the efficiency of the methods. The study on the user's attention in IEC establishes a necessary foundation for reducing users' fatigue in IEC.
引用
收藏
页码：4270 / +
页数：3
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