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Solving the quadratic assignment problem using F-MSG algorithm
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.