다목적 유전 알고리즘 기반 고밀도 로봇군의 최적 경로 탐색
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신승호 | - |
dc.contributor.author | 김제석 | - |
dc.contributor.author | 박장현 | - |
dc.contributor.author | 김정민 | - |
dc.contributor.author | 범진환 | - |
dc.date.accessioned | 2022-07-16T04:42:51Z | - |
dc.date.available | 2022-07-16T04:42:51Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2014-05 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159903 | - |
dc.description.abstract | This paper approaches a scheduling problem of multi-robots motions that aims for optimized schedule in limited area, from an expanded MTSP. We make the best way of genetic algorithm as we call NSGA-II(Non-dominated Sorting Algorithm), by adding multi objects and evaluating each chromosome. We simulate motion of six robots with the optimized schedule and show effectiveness of the proposed NSGA-II. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 제어로봇시스템학회 | - |
dc.title | 다목적 유전 알고리즘 기반 고밀도 로봇군의 최적 경로 탐색 | - |
dc.title.alternative | Optimal Path Finding based on NSGA-Ⅱ For High-density Robot Environments | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 박장현 | - |
dc.identifier.bibliographicCitation | 2014 제29회 ICROS 학술대회, pp.376 - 377 | - |
dc.relation.isPartOf | 2014 제29회 ICROS 학술대회 | - |
dc.citation.title | 2014 제29회 ICROS 학술대회 | - |
dc.citation.startPage | 376 | - |
dc.citation.endPage | 377 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceeding | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | NSGA-II | - |
dc.subject.keywordAuthor | Optimized schedule | - |
dc.subject.keywordAuthor | High-density Robot | - |
dc.subject.keywordAuthor | MTSP | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02434839 | - |
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