Abstract
This study further investigates the complete-basis-functions parameterization method (CBFP) for Evolution Strategies (ES), and its application to a challenging real-life high-dimensional physics optimization problem, namely Femtosecond Laser Pulse Shaping.
The CBFP method, which was introduced recently for tackling efficiently the learning task of n-variables functions, is combined here, for the first time, with niching techniques, and shown to boost the learning process of the given laser problem, and to yield satisfying multiple optima.
Moreover, a technique for learning the basis-functions and improving this method is outlined.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stapelfeldt, H.: Rev. Mod. Phys, 75 (2003)
Friedrich, B., Herschbach, D.: Phys. Chem. Chem. Phys, 2 (2000)
Hay, N.: Phys. Rev, A 65 (2000)
Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.: The complete-basis-functions parameterization in es and its application to laser pulse shaping. In: Proceedings of the Genetic and Evolutionary Computation Conference (2006)
Beyer, H.G., Schwefel, H.P.: Evolution strategies a comprehensive introduction. Natural Computing: an international journal 1 (2002)
Mahfoud, S.: Niching Methods for Genetic Algorithms. PhD thesis, University of Illinois at Urbana Champaign (1995)
Zamith, S.: Eur. Phys. J. D, 12 (2000)
Rosca-Pruna, F., Vrakking, M.: Revival structures in picosecond laser-induced alignment of i2 molecules. Journal of Chemical Physics 116, 6579–6588 (2002)
Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.J.: Niching in evolution strategies and its application to laser pulse shaping. In: Talbi, E.-G., Liardet, P., Collet, P., Lutton, E., Schoenauer, M. (eds.) EA 2005. LNCS, vol. 3871, pp. 85–96. Springer, Heidelberg (2006)
Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.: Evolutionary algorithms in the optimization of dynamic molecular alignment. In: Proceedings of the 2006 Congress on Evolutionary Computation (2006)
Hansen, N., Ostermeier, A.: Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation 9 (2001)
Shir, O.M., Bäck, T.: Dynamic niching in evolution strategies with covariance matrix adaptation. In: Proceedings of the 2005 Congress on Evolutionary Computation CEC-2005, Piscataway, NJ, USA. IEEE Press, Los Alamitos (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shir, O.M., Kok, J.N., Bäck, T., Vrakking, M.J.J. (2006). Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_50
Download citation
DOI: https://doi.org/10.1007/11875581_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45485-4
Online ISBN: 978-3-540-45487-8
eBook Packages: Computer ScienceComputer Science (R0)