User's attention knowledge learning in interactive evolutionary computation

Authors:
Guo-Sheng Hao;Dun-Wei Gong;Jie Yuan;Yu-Ruo Yan;Jun-Rong Yan
Affiliations:
School of Information & Electronic Engineering, China University of Mining & Technology, Xuzhou, Jiangsu, China and School of Computer Science and Technology, Xuzhou Normal University, Xuzhou, Jia ...;School of Information & Electronic Engineering, China University of Mining & Technology, Xuzhou, Jiangsu, China;School of Information & Electronic Engineering, China University of Mining & Technology, Xuzhou, Jiangsu, China;School of Computer Science and Technology, Xuzhou Normal University, Xuzhou, Jiangsu, China;School of Computer Science and Technology, Xuzhou Normal University, Xuzhou, Jiangsu, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

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.