An instance of a combinatorial optimization problem is said to have the constant objective value property (COVP) if every feasible solution has the same objective function value. In this paper our goal is to character...
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An instance of a combinatorial optimization problem is said to have the constant objective value property (COVP) if every feasible solution has the same objective function value. In this paper our goal is to characterize the set of all instances with the COVP for multidimensional assignment problems. Our central result deals with planar d-dimensional assignment problems. We show that such constant objective value instances are characterized by so-called sum-decomposable arrays with appropriate parameters. This adds to the known result for the axial d-dimensional case. (C) 2016 Elsevier B.V. All rights reserved.
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