Active User Intervention in an EC Search: Unterschied zwischen den Versionen
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lutionary computation (IEC) methods that al- | lutionary computation (IEC) methods that al- | ||
low users to actively participate in an EC | low users to actively participate in an EC | ||
| − | search. This is | + | search. This is different from a conventional |
IEC in which the search and evaluation are | IEC in which the search and evaluation are | ||
performed by the EC and the user, respec- | performed by the EC and the user, respec- | ||
| − | tively. The | + | tively. The first method is one in which in- |
formation obtained from an IEC search is ex- | formation obtained from an IEC search is ex- | ||
plicitly incorporated into the EC search for | plicitly incorporated into the EC search for | ||
Version vom 17. Januar 2015, 22:01 Uhr
Inhaltsverzeichnis
Reference
Hideyuki Takagi: Active User Intervention in an EC Search. International Conference on Information Sciences (JCIS2000,) Atlantic City, NJ, USA, pp.995-998 (Feb. 27 - Mar. 3, 2000)
DOI
Abstract
We propose two interactive evo- lutionary computation (IEC) methods that al- low users to actively participate in an EC search. This is different from a conventional IEC in which the search and evaluation are performed by the EC and the user, respec- tively. The first method is one in which in- formation obtained from an IEC search is ex- plicitly incorporated into the EC search for the next generation using on-line knowledge embedding. The second is a method that in- troduces a 2-D visualization of an n-D search- ing space. The acceleration of EC conver- gence and the user interface were experimen- tally evaluated for both methods.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.design.kyushu-u.ac.jp/~takagi/TAKAGI/IECpaper/JCIS2K_2.pdf
