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01306nam a2200205Ia 4500 |
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10.3390-math10050734 |
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220425s2022 CNT 000 0 und d |
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|a 22277390 (ISSN)
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|a A New Nonparametric Filled Function Method for Integer Programming Problems with Constraints
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|b MDPI
|c 2022
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/math10050734
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|a 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 has effectiveness, feasibility, and better global optimization ability. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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|a constrained integer program
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|a discrete global optimization
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|a nonparametric filled function method
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|a Gao, Y.
|e author
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|a Ma, S.
|e author
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|a Zhang, B.
|e author
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|a Zuo, W.
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|t Mathematics
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