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Calculation of penalties in algorithm of mixed integer programming solving with revised dual simplex method for bounded variables

机译:修正对偶单纯形法的混合整数规划求解算法的有界变量罚分计算

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摘要

The branch-and-bound method with the revised dual simplex for bounded vari- ables is very effective in solving relatively large-size integer linear programming problems. This paper, based on the general forms of the penalties by Beale and Small and the stronger penalties by Tomlin, describes the modifications of these Penalties used for the method of bounded variables. The same examples from Pe- Tersen are taken and the satisfactory results are shown in comparison with those Obtained by Tomlin.
机译:具有修正的对偶变量的对偶单纯形的分支定界方法在解决相对较大的整数线性规划问题时非常有效。本文基于Beale和Small的罚分的一般形式以及Tomlin的更强罚分,描述了用于有界变量方法的这些罚分的修改。取自佩特森的相同示例,与汤姆林获得的结果相比,显示出令人满意的结果。

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