On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs

نویسندگان

چکیده

We investigate new methods for generating Lagrangian cuts to solve two-stage stochastic integer programs. can be added a Benders reformulation, and are derived from solving single scenario programming subproblems identical those used in the nonanticipative dual of program. While have potential significantly strengthen relaxation, computationally demanding. techniques with goal obtaining that provide significant improvements relaxation quickly. Computational results demonstrate our proposed method improves faster than previous and, when within branch-and-cut algorithm, reduces size search tree three classes test problems.

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ژورنال

عنوان ژورنال: Informs Journal on Computing

سال: 2022

ISSN: ['1091-9856', '1526-5528']

DOI: https://doi.org/10.1287/ijoc.2022.1185