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Robust Quadratic Assignment Problem with Uncertain Locations
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Feizollahi   , Modarres yazdi |
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Abstract: (36081 Views) |
| We consider a generalization of the
classical quadratic assignment problem, where coordinates of locations are uncertain
and only upper and lower bounds are known for each coordinate. We develop a
mixed integer linear programming model as a robust counterpart of the proposed
uncertain model. A key challenge is that, since the uncertain model involves
nonlinear objective function of the uncertain data, classical robust
optimization approaches cannot be applied directly to construct its robust
counterpart. We exploit the problem structure to develop exact solution methods
and present some computational results. |
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| Keywords: Uncertainty modeling, Robustness and sensitivity analysis, Facilities planning and design, Quadratic assignment problem, Non-linear integer programming |
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Full-Text [PDF 249 kb]
(51044 Downloads)
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Type of Study: Original |
Received: 2013/06/21 | Accepted: 2013/06/22 | Published: 2013/06/22
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