Pulse retrieval from interferometric autocorrelation measurement by use of the population-split genetic algorithm
| dc.citation.epage | 10938 | en_US |
| dc.citation.issue | 22 | en_US |
| dc.citation.spage | 10930 | en_US |
| dc.citation.volume | 14 | en_US |
| dc.citation.woscount | 3 | |
| dc.contributor.author | Chen, Ching-Wei | en_US |
| dc.contributor.author | Huang, Jung Y. | en_US |
| dc.contributor.author | Pan, Ci-Ling | en_US |
| dc.contributor.department | 光電工程學系 | zh_TW |
| dc.contributor.department | Department of Photonics | en_US |
| dc.date.accessioned | 2014-12-08T15:15:35Z | |
| dc.date.available | 2014-12-08T15:15:35Z | |
| dc.date.issued | 2006-10-30 | en_US |
| dc.description.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. (c) 2006 Optical Society of America. | en_US |
| dc.identifier.doi | 10.1364/OE.14.010930 | en_US |
| dc.identifier.issn | 1094-4087 | en_US |
| dc.identifier.journal | OPTICS EXPRESS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1364/OE.14.010930 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/11654 | |
| dc.identifier.wosnumber | WOS:000242324500098 | |
| dc.language.iso | en_US | en_US |
| dc.title | Pulse retrieval from interferometric autocorrelation measurement by use of the population-split genetic algorithm | en_US |
| dc.type | Article | en_US |