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HGVPRLB: A hybrid algorithm for solving binary problems

机译:HGVPRLB:一种用于解决二进制问题的混合算法

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In this paper it is proposed a hybrid algorithm, so-called HGVPRLB, for solving generic binary problems. The algorithm HGVPRLB combines the heuristic procedures GRASP, Variable Neighborhood Descent, Constraint Propagation and Local Branching Cuts. It was tested in a set of binary problems from MIPLIB 2010 in order to check both its ability to obtain feasible solutions as its ability to improve the value of these solutions varying the processing time. Computational experiments showed that when the processing time increases the algorithm can increase the number of feasible solutions found in the set as well the quality of the solutions. Besides it, the proposed algorithm outperforms another algorithm of literature, as well as two other open source solvers.
机译:在本文中,提出了一种用于求解通用二进制问题的混合算法,即所谓的HGVPRLB。 HGVPRLB算法结合了启发式程序GRASP,可变邻域下降,约束传播和局部分支割。它在来自MIPLIB 2010的一系列二进制问题中进行了测试,以检查其获得可行解决方案的能力以及其通过改变处理时间来提高这些解决方案的价值的能力。计算实验表明,当处理时间增加时,该算法可以增加在集合中找到的可行解的数量以及解的质量。除此之外,所提出的算法优于另一种文献算法以及其他两个开源求解器。

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