American Institute of Mathematical Sciences

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April  2007, 3(2): 173-191. doi: 10.3934/jimo.2007.3.173

Solving the quadratic assignment problem using F-MSG algorithm

R. N. Gasimov 1, and  O. Ustun 1,

1. 

Eskişehir Osmangazi University, Department of Industrial Engineering, Bademlik 26030, Eskişehir, Turkey, Turkey

Received  August 2006 Revised  November 2006 Published  April 2007

Quadratic assignment problems are one of the famous strongly NP-hard combinatorial optimization problems. Because of the wide area of applications and the difficulties existing in finding optimal solutions, these problems are one of the most common objects for application of optimization methods. This paper examines the use of a generalized version of the modified subgradient algorithm for solving quadratic assignment problems. Promising computational results are reported for benchmark problem instances taken from the quadratic assignment problem library - QAPLIB.
Keywords: Global optimization., Modified subgradient algorithm, Nonconvex optimization, Sharp augmented Lagrangian, Quadratic assignment problem, F-MSG algorithm.
Mathematics Subject Classification: Primary: 90B80, 90C20; secondary: 90C26, 90C5.
Citation: R. N. Gasimov, O. Ustun. Solving the quadratic assignment problem using F-MSG algorithm. Journal of Industrial & Management Optimization, 2007, 3 (2) : 173-191. doi: 10.3934/jimo.2007.3.173
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