Thinning-out: A Method to Reduce Trials in Skill Discovery of a Robot
Author:
Affiliation:
1. Graduate School of Information Sciences, Tohoku University
2. Graduate School of Information Science and Electrical Engineering, Kyushu University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
http://www.jstage.jst.go.jp/article/tjsai/24/1/24_1_191/_pdf
Reference20 articles.
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3. [Glaz 08] Glaz, B., Friedmann, P., and Liu, L.: Surrogate based optimization of helicopter rotor blades for vibration reduction in forward flight, Structural and Multidisciplinary Optimization, Vol. 35, No. 4, pp. 341-363 (2008)
4. [Hiroyasu 03] Hiroyasu, T., Miki, M., Sano, M., Shimosaka, H., Tsutsui, S., and Dongarra, J.: Distributed Probabilistic Model-Building Genetic Algorithm, in Genetic and Evolutionary Computation - GECCO 2003, Vol. 2723 of LNCS, pp. 1015-1028, Springer-Verlag (2003)
5. [Jin 05a] Jin, Y.: A Comprehensive Survey of Fitness Approximation in Evolutionary Computation, Soft Computing, Vol. 9, No. 1, pp. 3-12 (2005)
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