DocumentCode :
2792199
Title :
User´s attention knowledge learning in interactive evolutionary computation
Author :
Hao Guo-Sheng ; Gong Dun-Wei ; Yuan Jie ; Yan Yu-Ruo ; Yan Jun-rong
Author_Institution :
Sch. of Inf.&Electron. Eng., China Univ. of Min. & Technol., Xuzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4270
Lastpage :
4275
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.
Keywords :
evolutionary computation; interactive systems; knowledge based systems; interactive evolutionary computation; knowledge learning; user attention; Cognition; Computer science; Electronic mail; Evolutionary computation; Fatigue; Humans; IEC; Interactive systems; Optimization methods; Stochastic processes; Evolutionary Computation; Interaction; Knowledge Learning; User´s Attention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192415
Filename :
5192415
Link To Document :
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