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dc.contributor.authorChen, Ching-Weien_US
dc.contributor.authorHuang, Jung Y.en_US
dc.contributor.authorPan, Ci-Lingen_US
dc.date.accessioned2014-12-08T15:15:35Z-
dc.date.available2014-12-08T15:15:35Z-
dc.date.issued2006-10-30en_US
dc.identifier.issn1094-4087en_US
dc.identifier.urihttp://dx.doi.org/10.1364/OE.14.010930en_US
dc.identifier.urihttp://hdl.handle.net/11536/11654-
dc.description.abstractThe 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. (c) 2006 Optical Society of America.en_US
dc.language.isoen_USen_US
dc.titlePulse retrieval from interferometric autocorrelation measurement by use of the population-split genetic algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1364/OE.14.010930en_US
dc.identifier.journalOPTICS EXPRESSen_US
dc.citation.volume14en_US
dc.citation.issue22en_US
dc.citation.spage10930en_US
dc.citation.epage10938en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000242324500098-
dc.citation.woscount3-
Appears in Collections:Articles


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