Multiobjective genetic approach for optimal control of photoinduced processes

Journal Article · Wed Aug 15 00:00:00 EDT 2007 · Physical Review. A

DOI:https://doi.org/10.1103/PHYSREVA.76.023408· OSTI ID:21011446

Bonacina, Luigi; Extermann, Jerome; Rondi, Ariana; Wolf, Jean-Pierre ^[1]; Boutou, Veronique ^[2]

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1. Universite de Geneve, GAP-Biophotonics, 20 rue de l'Ecole de Medecine, 1211 Geneva 4 (Switzerland)
2. Universite Lyon 1, CNRS, LASIM UMR 5579, bt. A. Kastler, 43 Bvd du 11 novembre 1918, F-69622 Villeurbanne (France)

We have applied a multiobjective genetic algorithm to the optimization of multiphoton-excited fluorescence. Our study shows the advantages that this approach can offer to experiments based on adaptive shaping of femtosecond pulses. The algorithm outperforms single-objective optimizations, being totally independent from the bias of user defined parameters and giving simultaneous access to a large set of feasible solutions. The global inspection of their ensemble represents a powerful support to unravel the connections between pulse spectral field features and excitation dynamics of the sample.

• OSTI ID: 21011446
• Journal Information: Physical Review. A, Vol. 76, Issue 2; Other Information: DOI: 10.1103/PhysRevA.76.023408; (c) 2007 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); ISSN 1050-2947
• Country of Publication: United States
• Language: English

Related Subjects

74 ATOMIC AND MOLECULAR PHYSICS
ALGORITHMS
EXCITATION
EXCITED STATES
FLUORESCENCE
MATHEMATICAL SOLUTIONS
MULTI-PHOTON PROCESSES
OPTIMAL CONTROL
OPTIMIZATION
PHOTON-MOLECULE COLLISIONS
PULSES
VELOCITY