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

Ching Wei Chen; Jung Y. Huang; Ci Ling Pan

doi:10.1364/OE.14.010930

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

Ching Wei Chen^*, Jung Y. Huang, Ci Ling Pan

^*Corresponding author for this work

Department of Photonics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	10930-10938
Number of pages	9
Journal	Optics Express
Volume	14
Issue number	22
DOIs	https://doi.org/10.1364/OE.14.010930
State	Published - 1 Jan 2006

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abstract = "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.",

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