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Cited 12 time in webofscience Cited 16 time in scopus
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Fast genetic algorithm for robot path planning

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dc.contributor.authorLee, Jaesung-
dc.contributor.authorKang, B. -Y.-
dc.contributor.authorKim, Dae-Won-
dc.date.available2019-03-09T00:59:53Z-
dc.date.issued2013-11-
dc.identifier.issn0013-5194-
dc.identifier.issn1350-911X-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14140-
dc.description.abstractAn efficient genetic algorithm-based robot path planning method is proposed that finds collision-free paths while minimising the distance of the paths obtained. By using an improved evaluation and natural selection process, the proposed robot path planning method provides markedly faster computation and better success rates than well-known conventional methods.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleFast genetic algorithm for robot path planning-
dc.typeArticle-
dc.identifier.doi10.1049/el.2013.3143-
dc.identifier.bibliographicCitationELECTRONICS LETTERS, v.49, no.23, pp 1449 - 1451-
dc.description.isOpenAccessN-
dc.identifier.wosid000327302500025-
dc.identifier.scopusid2-s2.0-84889060824-
dc.citation.endPage1451-
dc.citation.number23-
dc.citation.startPage1449-
dc.citation.titleELECTRONICS LETTERS-
dc.citation.volume49-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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