Controlled model assisted evolution strategy with adaptive preselection

Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06

Volumn , Issue , 2006, Pages 182-187

  Hoffmann, Frank ^a,b   Hölemann, Sebastian ^b  

^a IEEE   (Germany)

^b TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACHIEVE OPTIMAL EVOLUTIONARY; COMPLEX FITNESS MODELS; COMPLEX SIMULATIONS; FITNESS EVALUATIONS;

ADAPTIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 34250782169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISEFS.2006.251155     Document Type: Conference Paper

References (7)

1. Y. Jin, M. Olhofer, and B. Sendhoff, "A framework for evolutionary optimization with approximate fitness functions." IEEE Transactions on Evolutionary Computation, vol. 6, no. No. 5, pp. 481-494, October 2002.
2. Y. Jin, "A comprehensive survey of fitness approximation in evolutionary computation," Soft Computing Journal, vol. 9, no. 1, pp. 3-12, 2005.
3. Y. S. Ong, P. B. Nair, A. J. Keane, and K. W. Wong, "Surrogate- assisted evolutionary optimization frameworks for high-fidelity engineering design problems." in Knowledge Incorporation in Evolutionary Computation, ser. Studies in Fuzziness and Soft Computing, Y. Jin, Ed. Springer, 2004, pp. 307-332.
4. H. Ulmer, F. Streichert, and A. Zell. "Evolution strategies with controlled model assistance," in Proceedings of the 2004 IEEE Congress on Evolutionary Computation. Portland, Oregon: IEEE Press, 20-23 June 2004, pp. 1569-1576.
5. C. G. Atkeson, A. W. Moore, and S. Schaal, "Locally weighted learning," Artificial Intelligence Review, vol. 11, no. 1-5, pp. 11-73, 1997.
6. H. Ulmer, F. Streichert, and A. Zell, "Evolution strategies assisted by gaussian processes with improved pre-selection criterion," in Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, Canberra, Australia. IEEE Press, 2003, pp. 692-699.
7. C. K. I. Williams, "Prediction with gaussian processes: From linear regression to linear prediction and beyond," in Learning and Inference in Graphical Models, M. I. Jordan, Ed. MIT Press, 1999, pp. 599-621.