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A New Exact Algorithm to Optimize a Linear Function over the Set of Efficient Solutions for Biobjective Mixed Integer Linear Programs

机译:双目标混合整数线性程序有效解集上优化线性函数的新精确算法

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We present the first (criterion space search) algorithm for optimizing a linear function over the set of efficient solutions of biobjective mixed integer linear programs. The proposed algorithm is developed based on the triangle splitting method [Boland N, Charkhgard H, Savelsbergh M (2015) A criterion space search algorithm for biobjective mixed integer programming: The triangle splitting method. INFORMS J. Comput. 27(4): 597-618.], which can find a full representation of the nondominated frontier of any biobjective mixed integer linear program. The proposed algorithm is easy to implement and converges quickly to an optimal solution. An extensive computational study shows the efficacy of the algorithm. We numerically show that the proposed algorithm can be used to quickly generate a provably high-quality approximate solution because it maintains a lower and an upper bound on the optimal value of the linear function at any point in time.
机译:我们提出了第一个(准则空间搜索)算法,用于在双目标混合整数线性程序的有效解集上优化线性函数。该算法是基于三角分割法[Boland N,Charkhgard H,Savelsbergh M(2015)开发的。一种用于双目标混合整数规划的标准空间搜索算法:三角分割法。 INFORMS J.计算。 27(4):597-618。],它可以找到任何双目标混合整数线性程序的非支配边界的完整表示。所提出的算法易于实现,并且可以迅速收敛到最优解。大量的计算研究表明了该算法的有效性。我们用数值方法表明,所提出的算法可用于快速生成可证明的高质量近似解,因为它可以在任何时间点保持线性函数最佳值的上下限。

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