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:: Volume 3, Issue 2 (9-2012) ::
IJOR 2012, 3(2): 46-65 Back to browse issues page
Robust Quadratic Assignment Problem with Uncertain Locations
Feizollahi , Modarres yazdi
Abstract:   (17658 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. 
Keywords: Uncertainty modeling, Robustness and sensitivity analysis, Facilities planning and design, Quadratic assignment problem, Non-linear integer programming
Full-Text [PDF 249 kb]   (3730 Downloads)    
Type of Study: Original |
Received: 2013/06/21 | Accepted: 2013/06/22 | Published: 2013/06/22
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Volume 3, Issue 2 (9-2012) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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