Evolution strategies on noisy functions how to improve convergence properties

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 866 LNCS, Issue , 1994, Pages 159-168

  Hammel, Ulrich ^a   Bäck, Thomas ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY;

CONVERGENCE PROCESS; CONVERGENCE PROPERTIES; CONVERGENCE RELIABILITIES; EVOLUTION STRATEGIES; MULTIPLE SAMPLING; OBJECTIVE FUNCTIONS; POPULATION SIZES; QUADRATIC FUNCTION;

POPULATION STATISTICS;

EID: 85027497157     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-58484-6_260     Document Type: Conference Paper

References (10)

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3. Thomas Bäck and Ulrich Hammel. Evolution Strategies Applied to Perturbed Objective Functions. In Proceedings of the IEEE World Congress of Computational Intelligence, Orlando, Florida, 1994.
4. H.-G. Beyer. Towards a theory of evolution strategies: Some asymptotical results from the (1,+λ)-theory. Evolutionary Computation, 1(2):165–188, 1993.
5. J. Michael Fitzpatrick and John J. Grefenstette. Genetic algorithms in noisy environments. Machine Learning, (3):101–120, 1988.
6. J. Klockgether and H.-P. Schwefel. Two-phase nozzle and hollow core jet experiments. In D.G. Elliott, editor, Proc. 11th Symp. Engineering Aspects of Magnetohydrodynamics, pages 141–148, California Institute of Technology, Pasadena CA, March 24–26, 1970.
7. I. Rechenberg. Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Frommann-Holzboog, Stuttgart, 1973.
8. H.-P. Schwefel. Numerical Optimization of Computer Models. Wiley, Chichester, 1981.
9. H.-P. Schwefel. Collective phenomena in evolutionary systems. In Preprints of the 31st Annual Meeting of the International Society for General System Research, Budapest, volume 2, pages 1025–1033, June 1987.
10. H.-P. Schwefel. Natural evolution and collective optimum-seeking. In A. Sydow, editor, Computational Systems Analysis: Topics and Trends, pages 5–14. Elsevier, Amsterdam, 1992.