Perturbation Theory for Evolutionary Algorithms: Towards an Estimation of Convergence Speed

Author:

Landrin-Schweitzer Yann,Lutton Evelyne

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. M. I. Freidlin, A. D. Wentzell, “Random perturbations of dynamical systems.” Trad, de: “Fluktuatsii u Dinamicheskikh Sistemakh Pod Deistviem Malykh Sluchainykh Vozmushchenii”. Springer, 1984.

2. M. Jerrum, “Mathematical Foundations of the Markov Chain Monte Carlo Method”. In M. Habib, C. McDiarmid, J. Ramirez-Alfonsin, B. Reed (Eds.), Probabilistic Methods for Algorithmic Discrete Mathematics, Springer Verlag, 1998.

3. E. Aarts and P. Van Laarhoven, “Simulated annealing: a pedestrian review of the theory and some applications”. NATO, ASI Series, Vol. F30, Springer Verlag.

4. E. Lutton and J. Lévy Véhel, Some remarks on the optimization of Hölder functions with Genetic Algorithms, IEEE trans on Evolutionary computing, 1998, see also Inria Research Report No 2627.

5. B. Leblanc, and E. Lutton. Bitwise Regularity Coefficients as a Tool for Deception Analysis of a Genetic Algorithm, 1997, INRIA research report, RR-3274.

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1. Bibliography;Evolutionary Algorithms for Food Science and Technology;2016-11-26

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