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Optimization of the Time of Task Scheduling for Dual Manipulators using a Modified Electromagnetism-Like Algorithm and Genetic Algorithm

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dc.citedby9
dc.contributor.authorAbed I.A.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorSahari K.S.M.en_US
dc.contributor.authorJagadeesh P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorid55568292900en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid15128307800en_US
dc.date.accessioned2023-05-16T02:47:07Z
dc.date.available2023-05-16T02:47:07Z
dc.date.issued2014
dc.description.abstractA method based on a modified electromagnetism-like with two-direction local search algorithm (MEMTDLS) and genetic algorithm (GA) is proposed to determine the optimal time of task scheduling for dual-robot manipulators. A GA is utilized to calculate the near-optimal task scheduling for both robots, and the MEMTDLS is recommended as a suitable alternative in obtaining multiple solutions at each task point for both manipulators with minimal error. During the course of the tour, the robots move from point to point with a short cycle time, while ensuring that no collision occurs between the two manipulators themselves or between the dual manipulators and the static obstacles in the workspace. The movement and the configurations of the manipulators at the task points were illustrated using a simulator that was developed via Visual Basic.Net. The method is verified using two simulators that are used as examples for two identical four-link planar robots that work in the environment, with square-shaped obstacles cluttered at different locations. © 2014 King Fahd University of Petroleum and Minerals.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s13369-014-1250-0
dc.identifier.epage6285
dc.identifier.issue8
dc.identifier.scopus2-s2.0-84904894278
dc.identifier.spage6269
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904894278&doi=10.1007%2fs13369-014-1250-0&partnerID=40&md5=bc9c7fe35d29f3ff7c46380b358dcf3f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22069
dc.identifier.volume39
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleArabian Journal for Science and Engineering
dc.titleOptimization of the Time of Task Scheduling for Dual Manipulators using a Modified Electromagnetism-Like Algorithm and Genetic Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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