Gaining Insights into Laser Pulse Shaping by Evolution Strategies

Authors:
Ofer M. Shir;Joost N. Kok;Thomas Bäck;Marc J. Vrakking
Affiliations:
Natural Computing Group, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands;Natural Computing Group, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands;Natural Computing Group, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands;Amolf-FOM, Institute for Atomic and Molecular Physics, Kruislaan 407, 1098 SJ Amsterdam, The Netherlands
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Year:
2007

Citing 4
Cited 1

Evolution strategies –A comprehensive introduction

Natural Computing: an international journal
Step-Size Adaption Based on Non-Local Use of Selection Information

PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Completely Derandomized Self-Adaptation in Evolution Strategies

Evolutionary Computation
The complete-basis-functions parameterization in ES and its application to laser pulse shaping

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Performance analysis of derandomized evolution strategies in quantum control experiments

Proceedings of the 10th annual conference on Genetic and evolutionary computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the numerical evolutionaryoptimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum controlproblem, which allows the full physical investigation of the optimal solutions. By using specific variants of Derandomized Evolution Strategies, subject to parameterizations which are known to be superior for this problem, the numerical results reveal different conceptual physics structuresfor the different optimization procedures. These results are strong both from the algorithmic as well as from the physics perspectives. This shows that Natural Computingtechniques can be used to derive new insights into Physics.