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Auditable selector learning for branch-and-bound acceleration on transport mixed-integer programs

Jin Xin Cao
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IGM: Integrated Gene-expression Modeling for multi-condition flux-preserving genome-scale metabolic models. [PDF]

PLoS One
Paklao T, Suratanee A, Plaimas K.
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Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability. [PDF]

Foods
Hernandez-Cuellar D, Castillo-Villar KK, Castillo-Villar FR.   +2 more
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Presolve Reductions in Mixed Integer Programming

INFORMS Journal on Computing, 2020
Mixed integer programming has become a very powerful tool for modeling and solving real-world planning and scheduling problems, with the breadth of applications appearing to be almost unlimited. A critical component in the solution of these mixed integer
Tobias Achterberg, R. Bixby, Zonghao Gu, E. Rothberg, Dieter Weninger   +4 more
semanticscholar   +5 more sources

Mixed-Integer Programming

Chemical Production Scheduling, 2020
Introduction Linear programming maximizes (or minimizes) a linear objective function subject to one or more constraints. Mixed integer programming adds one additional condition that at least one of the variables can only take on integer values.

semanticscholar   +2 more sources

Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem

Computers and Industrial Engineering, 2020
This paper intends to address the distributed flexible job shop scheduling problem (DFJSP) with minimizing maximum completion time (makespan). In order to solve this problem, we propose four mixed integer linear programming (MILP) models as well as a ...
Leilei Meng, Chaoyong Zhang, Yaping Ren, Biao Zhang, Chang Lv   +4 more
semanticscholar   +3 more sources

A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems

Applied Soft Computing Journal, 2021
B. Akay, D. Karaboğa, Beyza Görkemli, Ebubekir Kaya   +3 more
semanticscholar   +3 more sources

Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach

IEEE transactions on intelligent transportation systems (Print), 2022
This paper proposes a trajectory optimization approach for high-speed trains to reduce traction energy consumption and increase riding comfort. Besides, the proposed approach can also achieve energy-saving effects by optimizing the operation time between
Yuan Cao, Zixuan Zhang, Fanglin Cheng, S. Su   +3 more
semanticscholar   +1 more source

Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON

Optimization Methods and Software, 2018
Mustafa R. Kilinç, N. Sahinidis
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Strong mixed-integer programming formulations for trained neural networks

Mathematical programming, 2018
We present strong mixed-integer programming (MIP) formulations for high-dimensional piecewise linear functions that correspond to trained neural networks.
Ross Anderson, Joey Huchette, Will Ma, Christian Tjandraatmadja, J. Vielma   +4 more
semanticscholar   +1 more source