A decentralized coordination algorithm for multi-objective linear programming with block angular structure
DC Field | Value | Language |
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dc.contributor.author | Okpoti, Evans Sowah | - |
dc.contributor.author | Jeong, In Jae | - |
dc.date.accessioned | 2022-07-07T00:58:01Z | - |
dc.date.available | 2022-07-07T00:58:01Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 0305-215X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142367 | - |
dc.description.abstract | This article considers linear multi-objective programming problems with block angular structure, which are analogous to multi-disciplinary optimization environments where disciplines must collaborate to achieve a common overall goal. In this decentralized environment, a mechanism to guide locally optimized decision makers' solutions to a Pareto-optimal solution without sharing the entire local information is developed. The mechanism is based on an augmented Lagrangian approach to generate a solution and is separated into two phases: phase I determines an ideal point for each of the single objectives and phase II searches for a compromise solution starting from a single ideal point. Theoretical results show that the algorithm converges and the solution generated is Pareto optimal. The algorithm's effectiveness is demonstrated via an illustrative example and a real-world bi-objective re-entrant flow-shop production planning problem. The real-world experimental results showed that the decentralized method had an average 50% better performance compared to other centralized methods. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | A decentralized coordination algorithm for multi-objective linear programming with block angular structure | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, In Jae | - |
dc.identifier.doi | 10.1080/0305215X.2019.1698035 | - |
dc.identifier.scopusid | 2-s2.0-85076918889 | - |
dc.identifier.wosid | 000503303700001 | - |
dc.identifier.bibliographicCitation | ENGINEERING OPTIMIZATION, v.53, no.2, pp.185 - 205 | - |
dc.relation.isPartOf | ENGINEERING OPTIMIZATION | - |
dc.citation.title | ENGINEERING OPTIMIZATION | - |
dc.citation.volume | 53 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 185 | - |
dc.citation.endPage | 205 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | PARETO SOLUTIONS | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordAuthor | Collaborative optimization | - |
dc.subject.keywordAuthor | decentralized coordination | - |
dc.subject.keywordAuthor | multi-objective linear programming | - |
dc.subject.keywordAuthor | block angular structure | - |
dc.subject.keywordAuthor | multi-agent | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/0305215X.2019.1698035 | - |
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