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dc.contributor.authorLo, I-Hsiuen_US
dc.contributor.authorLi, Yimingen_US
dc.contributor.authorLee, Kuo-Fuen_US
dc.date.accessioned2018-08-21T05:56:41Z-
dc.date.available2018-08-21T05:56:41Z-
dc.date.issued2010-01-01en_US
dc.identifier.issn2376-6816en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TAAI.2010.45en_US
dc.identifier.urihttp://hdl.handle.net/11536/146516-
dc.description.abstractIn this paper, a hybrid genetic algorithm which combines crossover operator of conventional genetic algorithm (GA) and mixed mutation mechanisms is proposed for the design and optimization of the panel gate driver circuits with amorphous silicon thin-film transistor (ASG driver circuit). The shooting local search method is applied on the first half of sorted population while the mutation of differential evolution (DE) is applied on the others after the end of crossover. This mechanism can accelerate the speed of convergence and keep the diversity in the meanwhile. For sizing of topology -given ASG driver circuits, the system which integrates proposed algorithm and circuit simulator to optimize crucial characteristics with practical constraints is implemented and tested. The results indicate that the proposed algorithm is effective and efficient, compared with conventional GA.en_US
dc.language.isoen_USen_US
dc.subjectDifferential Evolutionen_US
dc.subjectGenetic Algorithmen_US
dc.subjectPanel Driver Circuiten_US
dc.subjectLocal Searchen_US
dc.titleHybrid Genetic Algorithm with Mixed Mutation Mechanism for Optimal Display Panel Circuit Designen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/TAAI.2010.45en_US
dc.identifier.journalINTERNATIONAL CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI 2010)en_US
dc.citation.spage222en_US
dc.citation.epage225en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000399726300034en_US
Appears in Collections:Conferences Paper