Multi-objective genetic algorithm optimization of 2D- and 3D-Pareto fronts for vibrational quantum processes

Details Multi-objective genetic algorithm optimization of 2D- and 3D-Pareto fronts for vibrational quantum processes Multi-objective genetic algorithm optimization of 2D- and 3D-Pareto fronts for vibrational quantum processes

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009njph...11a3019g&link_type=abstract

New Journal of Physics, Volume 11, Issue 1, pp. 013019 (2009).

Physics

5

Scientific paper

A multi-objective genetic algorithm is applied to optimize picosecond laser fields, driving vibrational quantum processes. Our examples are state-to-state transitions and unitary transformations. The approach allows features of the shaped laser fields and of the excitation mechanisms to be controlled simultaneously with the quantum yield. Within the parameter range accessible to the experiment, we focus on short pulse durations and low pulse energies to optimize preferably robust laser fields. Multidimensional Pareto fronts for these conflicting objectives could be constructed. Comparison with previous work showed that the solutions from Pareto optimizations and from optimal control theory match very well.

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