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It has been verified that the linear programming (LP) is able to formulate many real-life optimization problems, which can obtain the optimum by resorting to corresponding solvers such as OptVerse, Gurobi and CPLEX.
Origins of the simplex method
G. B. Dantzig · 1987
Earlier work this paper cites.
Implementing the simplex method: The initial basis
Robert E Bixby · 1992
Earlier work this paper cites.
Computational techniques of the simplex method
István Maros · 2002
Earlier work this paper cites.
On implementing a primal-dual interior-point method for conic quadratic optimization
E. D. Andersen, C. Roos, and T. Terlaky · 2003
Earlier work this paper cites.
Implementing the dantzig-fulkerson-johnson algorithm for large traveling salesman problems
David Applegate, Robert Bixby, Vašek Chvátal, and William Cook · 2003
Earlier work this paper cites.
A novel local search algorithm for the traveling salesman problem that exploits backbones
Weixiong Zhang and Moshe Looks · 2005
Earlier work this paper cites.
Mixed integer programming
Laurence A Wolsey · 2007
Earlier work this paper cites.
Survey of methods of solving tsp along with its implementation using dynamic programming approach
Chetan Chauhan, Ravindra Gupta, and Kshitij Pathak · 2012
Earlier work this paper cites.
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Earlier work this paper cites.
Neural combinatorial optimization with reinforcement learning
Irwan Bello, Hieu Pham, Quoc V Le, Mohammad Norouzi, and Samy Bengio · 2016
Earlier work this paper cites.
Learning to branch in mixed integer programming
Elias Khalil, Pierre Le Bodic, Le Song, George Nemhauser, and Bistra Dilkina · 2016
Cited alongside, same era.
An improved approximation algorithm for the subpath planning problem and its generalization
Hanna Sumita, Yuma Yonebayashi, Naonori Kakimura, and Ken-ichi Kawarabayashi · 2017
Cited alongside, same era.
Learning a sat solver from single-bit supervision
Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, and David L Dill · 2018
Cited alongside, same era.
Exact combinatorial optimization with graph convolutional neural networks
Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, and Andrea Lodi · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cylp, https://github.com/coin-or/cylp ,, 2021
COIN-OR Foundation · 2021
Later among the works it cites.
From an interior point to a corner point: Smart crossover
D. Ge, C. Wang, Z. Xiong, and Y. Ye · 2021
Later among the works it cites.
Gurobi solver, https://www.gurobi.com/ ,, 2021
Gurobi · 2021
Later among the works it cites.
Optverse solver, https://www.huaweicloud.com/product/modelarts/optverse.html ,, 2021
Huawei · 2021
Later among the works it cites.
Cplex, https://www.ibm.com/hk-en/analytics/cplex-optimizer ,, 2021
IBM · 2021
Later among the works it cites.
Hyper-graph partitioning for a multi-agent reformulation of large-scale milps
Lucrezia Manieri, Alessandro Falsone, and Maria Prandini · 2021
Later among the works it cites.
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Cited alongside, same era.
Joint economic lot-sizing in multi-product multi-level integrated supply chains: Generalized benders decomposition
Abolfazl Gharaei, Mostafa Karimi, and Seyed Ashkan Hoseini Shekarabi · 2020
Cited alongside, same era.
Hybrid models for learning to branch
Prateek Gupta, Maxime Gasse, Elias B Khalil, M Pawan Kumar, Andrea Lodi, and Yoshua Bengio · 2020
Cited alongside, same era.
Solving mixed integer programs using neural networks
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O’Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, et al · 2020
Cited alongside, same era.
Coin-or linear programming, https://github.com/coin-or/clp ,, 2021
COIN-OR Foundation · 2021
Cited alongside, same era.
Combining multiple criteria analysis, mathematical programming and monte carlo simulation to tackle uncertainty in research and development project portfolio selection: A case study from greece
George Mavrotas and Evangelos Makryvelios · 2021
Later among the works it cites.
Machine learning for combinatorial optimization, https://www.ecole.ai/2021/ml4co-competition/ ,, 2021
NeurIPS 2021 Competition · 2021
Later among the works it cites.
Scip solver, https://www.scipopt.org/ ,, 2021
ZIB · 2021
Later among the works it cites.