Active User Intervention in an EC Search

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


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)



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


Used References

[1] König, A. , Bulmahn, O. , and Glesner, M., \Sys- tematic Methods for Multivariate Data Visualiza- tion and Numerical Assessment of Class Separability and Overlap in Automated Visual Industrial Qual- ity Control," 5th British Machine Vision Conference, pp.195{204 (1994) .

[2] König, A., \A Survey of Multivariate Data Pro- jection, Visualization and Interactive Analysis," 5th Int'l Conf. on Soft Computing and Infor- mation/Intelligent Systems (IIZUKA'98), Iizuka, Fukuoka, Japan, pp.55{59 (1998).

[3] K?onig, A., Blutner, F. E., Eberhardt, M., and Wenzel, R., \An Acoustic Data Base Navigator for the Interactive Analysis of Psycho-Acoustic Sound Archives," 5th Int'l Conf. on Soft Computing and In- formation/Intelligent Systems (IIZUKA'98), Iizuka, Fukuoka, Japan, pp.60{63 (1998).

[4] Marks, J., Andalman, B., Beardsley, P.A., et al., \Design Galleries: A General Approach to Setting Parameters for Computer Graphics and Animation," ACM SIGGRAPH'97, pp.389{400 (1997)

[5] Sammon, J. W. , \A Nonlinear Mapping for Data Structure Analysis," IEEE Transactions on Comput- ers, vol. C-18, no.5, pp.401{409 (1969)

[6] Takagi, H., \Interactive Evolutionary Computation: System Optimization Based on Human Subjective Evaluation," IEEE Int'l Conf. on Intelligent Engi- neering Systems (INES'98), pp.1{6, Vienna, Austria (Sept., 1998).

[7] Takagi, H., \Interactive Evolutionary Computation { Cooperation of computational intelligence and hu- man KANSEI |," 5th Int'l Conf. on Soft Comput- ing (IIZUKA'98), pp.41{50, World Scientific, Iizuka, Fukuoka, Japan, (Oct., 1998).

[8] Takagi, H., Unemi, T., and Terano, T., \Perspec- tive on Interactive Evolutionary Computing," J. of Japan Society for Artificial Intelligence, vol.13, no.5 pp.692{703 (1998) (in Japanese).

[9] Takagi, H., and Kishi, K., \On-line Knowledge Em- bedding for Interactive EC-based Montage System," 3rd Int'l Conf. on Knowledge-Based Intelligent In- formation Engineering Systems (KES'99), Adelaide, Australia, pp.280{283 (Aug. - Sept., 1999).

[10] Venturini, G., Slimane, M., Morin, F., and Asselin de Beauville, J. P., \On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases," 7th Int'l Conf. on Genetic Algorithms, pp.696{703 (1997)


Full Text

intern file

Sonstige Links