Pulse retrieval from interferometric autocorrelation measurement by use of the population-split genetic algorithm | Zendy

Ching-Wei Chen | Zendy; Jung Y. Huang | Zendy; CiLing Pan | Zendy

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Pulse retrieval from interferometric autocorrelation measurement by use of the population-split genetic algorithm

Author(s) -

Ching-Wei Chen,

Jung Y. Huang,

CiLing Pan

Publication year - 2006

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.14.010930

Subject(s) - autocorrelation , genetic algorithm , interferometry , population , optics , algorithm , ptychography , femtosecond , computer science , phase retrieval , iterative method , physics , mathematics , statistics , laser , fourier transform , diffraction , demography , quantum mechanics , machine learning , sociology

The population-split genetic algorithm (PSGA) was successfully applied to retrieve femtosecond optical fields from interferometric autocorrelation traces. PSGA strikes a balance between diversity and the size of population in the genetic algorithm. As a result, PSGA is less likely prematurely converging to sub-optimal solutions. Theoretical and experimental studies indicate that the PSGA can yield more accurate results in shorter time compared with conventional genetic algorithm and the iterative method. compared with conventional genetic algorithm and iterative method.

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