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dc.contributor.authorHung, Ping-Chuen_US
dc.contributor.authorChen, Ying-pingen_US
dc.contributor.authorZan, Hsiao Wenen_US
dc.date.accessioned2014-12-08T15:11:46Z-
dc.date.available2014-12-08T15:11:46Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-59593-697-4en_US
dc.identifier.urihttp://hdl.handle.net/11536/9024-
dc.description.abstractIn this paper, we develop a new optimization framework that consists of the extended compact genetic algorithm (ECGA) and split-on-demand (SoD) to tackle the characteristic determination problem for solid state devices. As most decision variables of characteristic determination problems are real numbers due to the modeling of physical phenomena, and ECGA is designed for handling discrete-type problems, a specific mechanism to transform the variable types of the two ends is in order. In the proposed framework, ECGA is used as an optimization engine, and SoD is adopted as the interface between the engine and the problem. Moreover, instead of one mathematical model with various parameters. characteristic determination is in fact a set of problems of which the mathematical formulations may be very different. Therefore, in this study, we employ the proposed framework oil three study cases to demonstrate that the technique proposed in the domain of evolutionary computation can provide not only the high quality optimization results but also the flexibility to handle problems of different formulations.en_US
dc.language.isoen_USen_US
dc.subjectCharacteristic determinationen_US
dc.subjectSolid state devicesen_US
dc.subjectECGAen_US
dc.subjectAdaptive discretizationen_US
dc.subjectSplit-on-demanden_US
dc.subjectSoDen_US
dc.titleCharacteristic Determination for Solid State Devices with Evolutionary Computation: A Case Studyen_US
dc.typeProceedings Paperen_US
dc.identifier.journalGECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2en_US
dc.citation.spage2029en_US
dc.citation.epage2036en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000268226900372-
Appears in Collections:Conferences Paper