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A New Nonparametric Filled Function Method for Integer Programming Problems with Constraints
2022
Mathematics
In this paper, we investigate and develop a new filled function method for solving integer programming problems with constraints. By adopting the appropriate equivalent transformation method, these problems are transformed into a class of box-constrained integer programming problems. Then, an effective nonparametric filled function is constructed, and a new global optimization algorithm is designed using the discrete steepest descent method. Numerical experiments illustrate that this algorithm
doi:10.3390/math10050734
fatcat:vzeke643d5a3bhecxnmjai6cpa