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Valid Inequalities for Mixed-Integer Linear and Mixed-Integer Conic Programs
2016Mixed-integer programming provides a natural framework for modeling optimization problems which require discrete decisions. Valid inequalities, used as cutting-planes and cuttingsurfaces in integer programming solvers, are an essential part of today’s integer programming technology.
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Linear, Integer, and Mixed Integer Programming
2021William P. Fox, Robert E. Burks
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Cyber-Attack on Overloading Multiple Lines: A Bilevel Mixed-Integer Linear Programming Model
IEEE Transactions on Smart Grid, 2018Yi Tan, Yong Li, Yijia Cao
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Cutting plane algorithms for the inverse mixed integer linear programming problem
Operations Research Letters, 2009Lizhi Wang
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Feature selection for multiclass discrimination via mixed-integer linear programming
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003Paul A Rubin
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Heuristic approaches for biobjective mixed 0–1 integer linear programming problems
European Journal of Operational Research, 2015Banu Soylu
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An exact algorithm for biobjective mixed integer linear programming problems
Computers and Operations Research, 2016Banu Soylu, Gazi Bilal Yıldız
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