An improved discrete artificial bee colony algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance
| dc.contributor.author | Jiayang Mao | |
| dc.contributor.author | Xiaolu Hu | |
| dc.contributor.author | Quanke Pan | |
| dc.contributor.author | Zhonghua Miao | |
| dc.contributor.author | Chuangxin He | |
| dc.contributor.author | M. Fatih Tasgetiren | |
| dc.contributor.author | Tasgetiren, M. Fatih | |
| dc.contributor.author | He, Chuangxin | |
| dc.contributor.author | Mao, Jiayang | |
| dc.contributor.author | Hu, XiaoLu | |
| dc.contributor.author | Pan, Quan-ke | |
| dc.contributor.author | Miao, Zhonghua | |
| dc.contributor.editor | J. Fu , J. Sun | |
| dc.date.accessioned | 2025-10-06T17:50:57Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | The distributed permutation flowshop scheduling problem with preventive maintenance operator (PM/DPFSP) is closely related to modem industry. This paper presents an improved discrete artificial bee colony (IDABC) algorithm for solving this problem. The criterion to be optimized is the makespan. An improved NEH heuristic method is proposed to initialize the population effectively. We adapted a local search method with insertion and swap operator to produce neighboring solutions in employ bee phase and onlooker bee phase. A global search method with destruction and reconstruction phase is introduced to avoid local optima in scout bee phase. The parameters for the proposed IDABC are calibrated by means of a design of experiments and analysis of variance. We conduct extensive experiments to test the performance of IDABC. Computational results indicate that IDABC has promising advantages on PM/DPFSP. © 2020 Elsevier B.V. All rights reserved. | |
| dc.description.sponsorship | Systems Engineering Society of China (SESC), Technical Committee on Control Theory (TCCT) of Chinese Association of Automation (CAA) | |
| dc.description.sponsorship | This research is partially supported by the National Science Foundation of China 61973203 and 51575212 and and Shanghai Key Laboratory of Power station Automation Technology. | |
| dc.description.sponsorship | Shanghai Key Laboratory of Power station Automation Technology; National Natural Science Foundation of China, NSFC, (51575212, 61973203); National Natural Science Foundation of China, NSFC | |
| dc.description.sponsorship | *Corresponding author: panquanke@shu.edu.cn (Quan-ke Pan) This research is partially supported by the National Science Foundation of China 61973203 and 51575212 and and Shanghai Key Laboratory of Power station Automation Technology. | |
| dc.description.sponsorship | National Science Foundation of China [61973203, 51575212]; Shanghai Key Laboratory of Power station Automation Technology | |
| dc.identifier.doi | 10.23919/CCC50068.2020.9188697 | |
| dc.identifier.isbn | 9789881563941, 9789887581581, 9789887581536, 9789881563804, 9789881563910, 9789881563842, 9789881563972, 9789881563811, 9789881563835, 9789887581543 | |
| dc.identifier.isbn | 9789881563903 | |
| dc.identifier.issn | 21612927, 19341768 | |
| dc.identifier.issn | 2161-2927 | |
| dc.identifier.issn | 1934-1768 | |
| dc.identifier.scopus | 2-s2.0-85091396372 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091396372&doi=10.23919%2FCCC50068.2020.9188697&partnerID=40&md5=6593146085d88284aeeec53760e05f2f | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/9192 | |
| dc.identifier.uri | https://doi.org/10.23919/CCC50068.2020.9188697 | |
| dc.language.iso | English | |
| dc.publisher | IEEE Computer Society help@computer.org | |
| dc.relation.ispartof | 39th Chinese Control Conference CCC 2020 | |
| dc.relation.ispartofseries | Chinese Control Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | Chinese Control Conference CCC | |
| dc.subject | Artificial Bee Colony, Distributed Scheduling, Flowshop, Preventive Maintenance, Design Of Experiments, Optimization, Scheduling, Algorithm For Solving, Artificial Bee Colonies, Artificial Bee Colony Algorithms, Computational Results, Global Search, Local Search Method, Permutation Flowshop Scheduling Problems, Swap Operators, Heuristic Methods | |
| dc.subject | Design of experiments, Optimization, Scheduling, Algorithm for solving, Artificial bee colonies, Artificial bee colony algorithms, Computational results, Global search, Local search method, Permutation flowshop scheduling problems, Swap operators, Heuristic methods | |
| dc.subject | Flowshop | |
| dc.subject | Artificial Bee Colony | |
| dc.subject | Distributed Scheduling | |
| dc.subject | Preventive Maintenance | |
| dc.title | An improved discrete artificial bee colony algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance | |
| dc.type | Conference Object | |
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| gdc.author.id | Mao, Jiayang/0009-0009-9565-5854 | |
| gdc.author.id | Tasgetiren, M Fatih/0000-0001-8625-3671 | |
| gdc.author.id | Tasgetiren, Mehmet Fatih/0000-0002-5716-575X | |
| gdc.author.id | Pan, QUAN-KE/0000-0002-5022-7946 | |
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| gdc.author.wosid | Pan, QUAN-KE/F-2019-2013 | |
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| gdc.description.departmenttemp | [Mao, Jiayang; Pan, Quan-ke; Miao, Zhonghua; He, Chuangxin] Shanghai Univ, Sch Mech & Elect Engn & Automat, Shanghai 200444, Peoples R China; [Hu, XiaoLu] China Rural Technol Dev Ctr, Beijing 100045, Peoples R China; [Tasgetiren, M. Fatih] Yasar Univ, Int Logist Management Dept, Izmir, Turkey | |
| gdc.description.endpage | 1684 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 1679 | |
| gdc.description.volume | 2020-July | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
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| gdc.virtual.author | Taşgetiren, Mehmet Fatih | |
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| person.identifier.scopus-author-id | Mao- Jiayang (57219131906), Hu- Xiaolu (57219131144), Pan- Quanke (15074237600), Miao- Zhonghua (22941301800), He- Chuangxin (58268795100), Tasgetiren- M. Fatih (6505799356) | |
| project.funder.name | *Corresponding author: panquanke@shu.edu.cn (Quan-ke Pan) This research is partially supported by the National Science Foundation of China 61973203 and 51575212 and and Shanghai Key Laboratory of Power station Automation Technology. | |
| publicationvolume.volumeNumber | 2020-July | |
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