Variable neighborhood particle swarm optimization for multi-objective flexible job-shop scheduling problems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, Hongbo | - |
dc.contributor.author | Abraham, Ajith | - |
dc.contributor.author | Choi, Okkyung | - |
dc.contributor.author | Moon, Seong Hwan | - |
dc.date.accessioned | 2023-03-09T00:34:27Z | - |
dc.date.available | 2023-03-09T00:34:27Z | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65450 | - |
dc.description.abstract | This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) and Particle Swarm Optimization (PSO). The proposed VNPSO method is used for solving the multi-objective Flexible Job-shop Scheduling Problems (FJSP). The details of implementation for the multi-objective FJSP and the corresponding computational experiments are reported. The results indicate that the proposed algorithm is an efficient approach for the multi-objective FJSP, especially for large scale problems. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Variable neighborhood particle swarm optimization for multi-objective flexible job-shop scheduling problems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11903697_26 | - |
dc.identifier.bibliographicCitation | SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, v.4247, pp 197 - 204 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000242556300026 | - |
dc.identifier.scopusid | 2-s2.0-33751381442 | - |
dc.citation.endPage | 204 | - |
dc.citation.startPage | 197 | - |
dc.citation.title | SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS | - |
dc.citation.volume | 4247 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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