Partial breeding — a method of IEC for well-structured large scale target domains
Inhaltsverzeichnis
Reference
Tatsuo Unemi: Partial breeding — a method of IEC for well-structured large scale target domains. Proceedings of the 2002 IEEE International Conference on Systems Man and Cybernetics, Hammamet, Tunisia, CD-ROM, TP1D4.
DOI
http://dx.doi.org/10.1109/ICSMC.2002.1173345 no references
Abstract
This paper proposes a method of In- teractive Evolutionary Computation (IEC) for large scale target domains of which structure is well or- ganized. In general, it is effective to divide a large problem into a number of sub-problems to solve it efficiently. For IEC tools, it becomes possible by adding a GUI-based facility for the user to indicate some part of genotype protected against random ini- tialization and mutation. The user can try alter- native candidates only on the non-protected parts as a sub-problem through breeding process: itera- tion of subjective selection, mutation, and crossover. This method was invented through development of an application for musical composition support sys- tem, but it is useful for other domains, such as graph- ics.
Extended Abstract
Bibtex
Used References
[1] H. Takagi, “Interactive Evolutionary Computation: Fu- sion of the Capacities of EC Optimization and Human Evaluation,” Proceedings of the IEEE, vol. 89, pp. 1275– 1296, 2001.
[2] T. Unemi and E. Nakada, “A Tool for Composing Short Music Pieces by Means of Breeding,” Proceedings of the IEEE Conference on Systems, Man and Cybernetics 2001 , Tucson, AZ, USA, pp. 3458–3463, 2001.
[3] T. Unemi and M. Senda, “A New Musical Tool for Com- position and Play Based on Simulated Breeding,” A. Dorin (ed.), Proceedings of Second Iteration, Clayton, Victoria, Australia, pp. 100–109, 2001.
[4] J. A. Biles, J. A., P. G. Anderson and L. W. Loggi, “Neural Network Fitness Functions for a Musical IGA,” IIA’96/SOCO’96. International ICSC Symposia on In- telligent Industrial Automation and Soft Computing, B pp. 39–44, 1996.
[5] M. Ohsaki and H. Takagi, “Improvement of Presenting Interface by Predicting the Evaluation Order to Reduce the Burden of Human Interactive EC Operators,” Pro- ceedings of the IEEE Conference on Systems, Man and Cybernetics 1998 , San Diego, CA, USA, pp. 1284–1289, 1998.
Links
Full Text
ftp://scc1.t.soka.ac.jp/users/unemi/papers/SMC02.pdf
