Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/43603
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dc.contributor.authorLi, Z-
dc.contributor.authorJanardhanan, MN-
dc.contributor.authorAshour, AS-
dc.contributor.authorDey, N-
dc.date.accessioned2019-03-20T12:04:25Z-
dc.date.issued2019-01-01-
dc.identifier.citationNeural Computing and Applications, 2019en
dc.identifier.issn0941-0643-
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs00521-018-3957-4en
dc.identifier.urihttp://hdl.handle.net/2381/43603-
dc.descriptionThe file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.en
dc.description.abstractModern assembly line systems utilize robotics to replace human resources to achieve higher level of automation and flexibility. This work studies the task assignment and robot allocation in a robotic U-shaped assembly line. Two new mixed-integer programming linear models are developed to minimize the cycle time when the number of workstations is fixed. Recently developed migrating birds optimization algorithm is employed and improved to solve large-sized problems. Problem-specific improvements are also developed to enhance the proposed algorithm including modified consecutive assignment procedure for robot allocation, iterative mechanism for cycle time update, new population update mechanism and diversity controlling mechanism. An extensive comparative study is carried out to test the performance of the proposed algorithm, where seven high-performing algorithms recently reported in the literature are re-implemented to tackle the considered problem. The computational results demonstrate that the developed models are capable to achieve the optimal solutions for small-sized problems, and the proposed algorithm with these proposed improvements achieves excellent performance and outperforms the compared ones.en
dc.language.isoenen
dc.publisherSpringeren
dc.rightsCopyright © Springer-Verlag London Ltd., part of Springer Nature 2019. Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)en
dc.titleMathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problemen
dc.typeJournal Articleen
dc.identifier.doi10.1007/s00521-018-3957-4-
dc.identifier.eissn1433-3058-
dc.description.statusPeer-revieweden
dc.description.versionPost-printen
dc.type.subtypeArticle in Press-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineeringen
dc.rights.embargodate2020-01-01-
dc.dateaccepted2018-12-18-
Appears in Collections:Published Articles, Dept. of Engineering

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