Users Attention Knowledge Learning in Interactive Evolutionary Computation
A users attention in interactive evolutionary computation(IEC) is an important issue. The methods to learn the users attention knowledge in IEC are studied in this paper. Firstly, the definition of the users attention is given. Secondly, the users attention on gene sense unit and some related theorems are given. Based on these theorems, the methods to learn the users attention knowledge are presented. Thirdly, a new method to improve the performance of IEC based on the users attention knowledge is given. The experiments validate the efficiency of the methods. The study on the users attention in IEC establishes a necessary foundation for reducing users fatigue in IEC.
Evolutionary Computation Interaction Users Attention Knowledge Learning
HAO Guo-Sheng GONG Dun-Wei YUAN Jie YAN Yu-Ruo YAN Jun-Rong
School of Information & Electronic Engineering, China University of Mining & Technology, Xuzhou, Jia School of Information & Electronic Engineering, China University of Mining & Technology, Xuzhou, Jia School of Computer Science and Technology, Xuzhou Normal University, Xuzhou, Jiangsu, 221116, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4270-4275
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)