Filtering Algorithms for Biobjective Mixed Binary Linear Optimization Problems with a Multiple-Choice Constraint-Reference-Cited by-同舟云学术

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Filtering Algorithms for Biobjective Mixed Binary Linear Optimization Problems with a Multiple-Choice Constraint

Published:2020-01 Issue:1 Volume:32 Page:57-73
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Jornada Daniel¹^ORCID,Leon V. Jorge²³

Affiliation:

1. Global Data, Insights & Analytics, Ford Motor Company, Dearborn, Michigan 48124;

2. Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas 77843-3367;

3. Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843-3367

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference54 articles.

1. Disjunctive Programming

2. Optimization over the efficient set

3. A face search heuristic algorithm for optimizing over the efficient set

4. Outcome Space Partition of the Weight Set in Multiobjective Linear Programming

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network Models for Multiobjective Discrete Optimization;INFORMS Journal on Computing;2021-11-24

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