2014
DOI: 10.1080/00207543.2014.894257
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A hybrid electromagnetism-like algorithm for two-stage assembly flow shop scheduling problem

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Cited by 31 publications
(15 citation statements)
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“…For the same problem, Liao and Liao (2007) presented an ant colony optimization (ACO) algorithm to solve the problem, and developed a branch and bound procedure to evaluate the performance of the algorithm. Yan, Wan, and Xiong (2014) dealt with a two-stage assembly flow shop scheduling problem for minimizing the weighed sum of maximum makespan, earliness and lateness. They proposed a hybrid variable neighborhood search -electromagnetism-like mechanism (VNS-EM) algorithm to solve the problem.…”
Section: Two-stage Assembly Scheduling Problem Without Setup Timesmentioning
confidence: 99%
“…For the same problem, Liao and Liao (2007) presented an ant colony optimization (ACO) algorithm to solve the problem, and developed a branch and bound procedure to evaluate the performance of the algorithm. Yan, Wan, and Xiong (2014) dealt with a two-stage assembly flow shop scheduling problem for minimizing the weighed sum of maximum makespan, earliness and lateness. They proposed a hybrid variable neighborhood search -electromagnetism-like mechanism (VNS-EM) algorithm to solve the problem.…”
Section: Two-stage Assembly Scheduling Problem Without Setup Timesmentioning
confidence: 99%
“…There are many different applications which require efficient scheduling algorithms with various constraints and characteristics (Kim and Moon, 2003;Kim et al, 2013;Nguyen and Yun, 2014;Yan et al, 2014). However, the spatial scheduling problem which considers spatial layout and dynamic job scheduling has not been studied extensively.…”
Section: Introductionmentioning
confidence: 98%
“…For the same scheduling problem, Mozdgir et al (2013) integrated the variable neighbourhood search (VNS) with a novel heuristic to construct solutions. More recently, to further investigate the effectiveness of VNS, Yan, Wan, and Xiong (2014) hybridised VNS with the electromagnetism-like mechanism to guide the search beyond local optima. In addition, Navaei et al (2014) and Seidgar et al (2014) applied the ICA to schedule a two-stage assembly flowshop.…”
Section: Introductionmentioning
confidence: 99%