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Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers table of contents
Montreal, Québec, Canada
WORKSHOP SESSION: Black box optimization benchmarking (BBOB) table of contents
Pages: 2281-2286  
Year of Publication: 2009
ISBN:978-1-60558-505-5
Author
Marcus R. Gallagher  University of Queensland, Brisbane, Australia
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 20,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
S. Finck, N. Hansen, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions. Technical Report 2009/20, Research Center PPE, 2009.
 
2
M. Gallagher, I. Wood, J. Keith, and G. Sofronov. Posterior predictive optimization with thresholding: Bayesian inference in EDAs. In Proc. Congress on Evolutionary Computation (CEC'07), pages 127--133, 2007.
 
3
A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin. Bayesian Data Analysis. Chapman and Hall/CRC, second edition, 2004.
 
4
N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2009: Experimental setup. Technical Report RR--6828, INRIA, 2009.
 
5
N. Hansen, S. Finck, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Technical Report RR-6829, INRIA, 2009.

INDEX TERMS

Primary Classification:
  G. Mathematics of Computing
  G.1 NUMERICAL ANALYSIS
      G.1.6 Optimization
          Subjects: Global optimization

Additional Classification:
  F. Theory of Computation
  F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
      F.2.1 Numerical Algorithms and Problems

  G. Mathematics of Computing
  G.1 NUMERICAL ANALYSIS
      G.1.6 Optimization
          Subjects: Unconstrained optimization


General Terms:
Algorithms


Keywords:
benchmarking, black-box optimization, evolutionary computation

Collaborative Colleagues:
Marcus R. Gallagher: colleagues

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