Evolution strategies assisted by Gaussian processes with improved preselection criterion

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings

Volumn 1, Issue , 2003, Pages 692-699

  Ulmer, Holger ^a   Streichert, Felix ^a   Zell, Andreas ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; COST ENGINEERING; EVOLUTIONARY ALGORITHMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); HEALTH; OPTIMIZATION;

CONVERGENCE BEHAVIORS; ENGINEERING OPTIMIZATION PROBLEMS; EVOLUTION STRATEGIES; EVOLUTIONARY METHOD; EVOLUTIONARY OPTIMIZATIONS; EXTENSIVE SIMULATIONS; FITNESS EVALUATIONS; MULTI MODAL FUNCTION;

FUNCTION EVALUATION;

EID: 84901437141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299643     Document Type: Conference Paper

References (12)

1. M. Schonlau D. Jones and W. Welch. Efficient global optimization of expensive black-box functions. Journal of Global Optimization, 13:455-492, 1998.
2. M. A. El-Beltagy and A. J. Keane. Evolutionary optimization for computationally expensive problems using gaussian processes. In CSREA Press Hamid Arabnia, editor, Proc. Int. Conf. on Artificial Intelligence IC-AI'2001, pages 708-714. 2001.
3. M. Emmerich, A. Giotis, M. Multlu Ozdemir, T. Back, and K. Giannakoglou. Metamodel-assisted evolution strategies. In Parallel Problem Solving from Nature VII, pages 362-370. 2002.
4. M. Gibbs and D. MacKay. Efficient implementation of gaussian processes. Technical report. Cavendish Laboratory, Cambridge, UK, 1997.
5. N. Hansen and A. Ostermeier. Convergence properties of evolution strategies with the derandomized covariance matrix adaptation: The (μ/μ.Λ)-cma-es. In 5th European Congress on Intelligent Techniques and Soft Computing, pages 650-654. 1997.
6. Y. Jin. A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing Journal. 2003. In press.
7. Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE. Transactions on Evolutionary Computation. March 2002 (in press). (ISSN: I089-778X), 2002.
8. Y. Jin and B, Sendhoff. Fitness approximation in evolutionary computing - a survey. In GECCO 2002 Proceedings of Genetic and Evolutionary Computation Conference, pages 1105-1111, 2002.
9. A. Ratle. Accelearating the convergence of evolutionary algorithms by fitness landscape approximation. In A. Eiben et al. editor. Parallel Problem Solving from Nature V, pages 87-96, 1998.
10. I. Rechenberg. Evolutionsstrategie'94.frommannholzboog, Stuttgart. 1994.
11. H.-P. Schwefel. Numerische Optinuerung von Compurer-Modellen mirtels der Evolutionsstrategie. Birkhauser. Basel. 1977.
12. M. W. Trosset and V. Torczon. Numerical optimization using computer experiments. Technical Report TR-97-38, 1997.