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      Ant colony optimization for the single model U-type assembly line balancing problem

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      Author
      Sabuncuoglu, I.
      Erel, E.
      Alp, A.
      Date
      2009
      Source Title
      International Journal of Production Economics
      Print ISSN
      0925-5273
      Publisher
      Elsevier
      Volume
      120
      Issue
      2
      Pages
      287 - 300
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      An assembly line is a production line in which units move continuously through a sequence of stations. The assembly line balancing problem is defined as the allocation of tasks to an ordered sequence of stations subject to precedence constraints with the objective of optimizing a performance measure. In this paper, we propose ant colony algorithms to solve the single-model U-type assembly line balancing problem. We conduct an extensive experimental study in which the performance of the proposed algorithm is compared against best known algorithms reported in the literature. The results indicate that the proposed algorithms display very competitive performance against them. © 2009 Elsevier B.V. All rights reserved.
      Keywords
      Ant colony optimization
      General assignments problem
      Metaheuristic
      U-type assembly line balancing problem
      Ant colony algorithms
      Ant colony optimization
      Assembly machines
      Permalink
      http://hdl.handle.net/11693/22671
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.ijpe.2008.11.017
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      • Department of Management 551
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