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| Maximum Generation for User to Keep Rationality in Interactive Evolutionary Computation |
| HAO Guo-Sheng1,HUANG Yong-Qing2,YAN Zhi-Gang3,WEI Kai-Xia1,GAO Yan1,JIA Jing-Jing1 |
1.School of Computer Science and Technology,Xuzhou Normal University,Xuzhou 221116
2.School of Management,Hefei University of Technology,Hefei 230009
3. School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221008 |
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Abstract To keep user rationality is a key element in interactive evolutionary computation to converge to the global solution. The maximum generation must be designed appropriately to help user keep rationality. Firstly, three different kinds of definition of the maximum generation are proposed. Secondly, the methods to calculate the maximum generation for six kinds of fitness-assignment methods are given. Both theory analysis and experimental results show that the most-satisfactory-identified fitness-assignment and the scale fitness-assignment practically help user keep rationality in more generations. The research provides references to select appropriate fitness-assignment methods.
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Received: 15 October 2009
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2010, Vol. 23 
