An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs
Published Online:16 Mar 2022https://doi.org/10.1287/ijoc.2021.1117
References
- (2018) Selecting cutting planes for quadratic semidefinite outer-approximation via trained neural networks. Technical report, Imperial College, London.Google Scholar
- (2020) strIPlib: A library of structured integer programs. Accessed April 20, 2019, striplib.or.rwth-aachen.de.Google Scholar
- (1962) Partitioning procedures for solving mixed-variables programming problems. Numerical Math. 4(1):238–252.Crossref, Google Scholar
- (2004) A two-stage hybrid local search for the vehicle routing problem with time windows. Transportation Sci. 38(4):515–530.Link, Google Scholar
- (2007) Static pickup and delivery problems: A classification scheme and survey. TOP 15(1):1–31.Crossref, Google Scholar
- (2020) Generation techniques for linear programming instances with controllable properties. Math. Programming Comput. 12:389–415. https://doi.org/10.1007/s12532-019-00170-6.Crossref, Google Scholar
- (1999) Resource-constrained project scheduling: Notation, classification, models, and methods. Eur. J. Oper. Res. 112(1):3–41.Crossref, Google Scholar
- (2015) Autoencoding the retrieval relevance of medical images. Proc. Internat. Conf. Image Processing Theory Tools Applications (IEEE, New York), 550–555.Google Scholar
- (2019) The second international nurse rostering competition. Ann. Oper. Res. 274(1-2):171–186.Crossref, Google Scholar
- (2018) Learning deep unsupervised binary codes for image retrieval. Proc. 27th Internat. Joint Conf. Artificial Intelligence (AAAI Press, Palo Alto, CA), 613–619.Google Scholar
- (2021) Deep features learning for medical image analysis with convolutional autoencoder neural network. IEEE Trans. Big Data. 7(4):750–758. https://doi.org/10.1109/TBDATA.2017.2717439.Crossref, Google Scholar
- (2018) Deep similarity learning for multimodal medical images. Comput. Methods Biomechanical Biomedical Engrg. Imaging Vision 6(3):248–252.Crossref, Google Scholar
- (1996) Simulated annealing metaheuristics for the vehicle routing problem with time windows. Ann. Oper. Res. 63(1):3–27.Crossref, Google Scholar
- (2015) Keras. Accessed February 16, 2022, https://keras.io.Google Scholar
- (1973) A sufficient condition for a matrix to be totally unimodular. Networks 3(4):351–365.Crossref, Google Scholar
- (2012) General network design: A unified view of combined location and network design problems. Eur. J. Oper. Res. 219(3):680–697.Crossref, Google Scholar
- (2012) Minimizing the maximum travel time in a combined model of facility location and network design. Omega 40(6):847–860.Crossref, Google Scholar
- (2003) A comparison of mixed-integer programming models for nonconvex piecewise linear cost minimization problems. Management Sci. 49(9):1268–1273.Link, Google Scholar
- (1960) Decomposition principle for linear programs. Oper. Res. 8(1):101–111.Link, Google Scholar
- (2013) Applied deep learning: Part 3: Autoencoders. Accessed July 26, 2019, https://towardsdatascience.com/applied-deep-learning-part-3-autoencoders-1c083af4d798.Google Scholar
- (2009) The vehicle routing problem: A taxonomic review. Comput. Industry Engrg. 57(4):1472–1483.Crossref, Google Scholar
- (2019) Neural architecture search: A survey. J. Machine Learning Res. 20(55):1–21.Google Scholar
- (2012) qgraph: Network visualizations of relationships in psychometric data. J. Statist. Software 48(4):1–18.Crossref, Google Scholar
- (2009) Facility Location: Concepts, Models, Algorithms and Case Studies (Springer, Berlin).Crossref, Google Scholar
- (2008) An effective vns for the capacitated p-median problem. Eur. J. Oper. Res. 191(3):612–622.Crossref, Google Scholar
- (2010) A branch-and-cut algorithm for partition coloring. Networks 55(3):194–204.Crossref, Google Scholar
- (2018) End-to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks. IEEE/ACM Trans. Audio Speech Language Processing 26(9):1570–1584.Crossref, Google Scholar
- (2018) An exact algorithm for the partition coloring problem. Comput. Oper. Res. 92:170–181.Crossref, Google Scholar
- (2010) Experiments with a generic Dantzig-Wolfe decomposition for integer programs. Festa P, ed. Experimental Algorithms, vol. 6049 of Lecture Notes in Computer Science (Springer, Berlin), 239–252.Crossref, Google Scholar
- (2019) Exact combinatorial optimization with graph convolutional neural networks. Wallach H, Larochelle H, Beygelzimer A, d’ Alch’e-Buc F, Fox E, Garnett R, eds. Advances in Neural Information Processing Systems (Curran Associates, Inc., Red Hook, NY), 15554–15566.Google Scholar
- (2017) Hands-on Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (O’Reilly Media, Inc.).Google Scholar
- (2018) The SCIP Optimization Suite 6.0. Technical report. Optim. Online Accessed February 16, 2022, http://www.optimization-online.org/DB_HTML/2018/07/6692.htmlGoogle Scholar
- (2021) MIPLIB 2017: Data-driven compilation of the 6th mixed-integer programming library. Math Prog. Comput. 13:443–490Google Scholar
- (2019) MIPLIB 2017. Accessed February 16, 2022, http://miplib.zib.de.Google Scholar
- (2000) A dynamic network flow problem with uncertain arc capacities: Formulation and problem structure. Oper. Res. 48(2):233–242.Link, Google Scholar
- (1998) Classification of location models. Location Sci. 6(1-4):229–242.Crossref, Google Scholar
- (2014) The first international nurse rostering competition 2010. Ann. Oper. Res. 218(1):221–236.Crossref, Google Scholar
- (2020) Stacked pooling for boosting scale invariance of crowd counting. Proc. ICASSP IEEE Internat. Conf. Acoustics Speech Signal Processing (IEEE, New York), 2578–2582.Google Scholar
- (2000) Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Comput. 12(7):1705–1720.Crossref, Google Scholar
- IBM Corporation (1969) Mathematical Programming System/360 Version 2, Linear and Separable Programming: User’s Manual (IBM Corporation, White Plains, NY).Google Scholar
- (2017) Decoupled neural interfaces using synthetic gradients. Proc. Internat. Conf. Machine Learn. (PMLR), 1627–1635.Google Scholar
- (1993) Multicommodity network flows: The impact of formulation on decomposition. Math. Programming 62(1-3):95–117.Crossref, Google Scholar
- (1951) Some problems in the theory of queues. J. Royal Statist. Soc. B 13(2):151–173.Google Scholar
- (2016) Mixed integer programming models for job shop scheduling: A computational analysis. Comput. Oper. Res. 73:165–173.Crossref, Google Scholar
- (2015) Autoencoding beyond pixels using a learned similarity metric. Preprint, submitted December 31, 2015, https://arxiv.org/abs/1512.09300.Google Scholar
- (2018) Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Anal. 43:66–84.Crossref, Google Scholar
- (2017) Meta-sgd: Learning to learn quickly for few-shot learning. Preprint, submitted July 31, 2017, https://arxiv.org/abs/1707.09835.Google Scholar
- (2013) Game theory for network security. IEEE Comm. Survey and Tutorial 15(1):472–486.Crossref, Google Scholar
- (2017) A survey of deep neural network architectures and their applications. Neurocomputing 234:11–26.Crossref, Google Scholar
- (1998) A bionomic approach to the capacitated p-median problem. J. Heuristics 4(3):263–280.Crossref, Google Scholar
- (2002) Cutting planes in integer and mixed integer programming. Discrete Appl. Math. 123(1-3):397–446.Crossref, Google Scholar
- (2004) Survey of multi-objective optimization methods for engineering. Structural Multidisciplinary Optim. 26 (6):369–395.Crossref, Google Scholar
- (1992) Constraint Classification for Mixed Integer Programming Formulations, vol. 20 (Committee on Algorithms of Mathematical Programming Society).Google Scholar
- (1993) Neural networks for optimization problems with inequality constraints: The knapsack problem. Neural Comput. 5(2):331–339.Crossref, Google Scholar
- (2011) Tight mixed integer linear programming formulations for the unit commitment problem. IEEE Trans. Power Systems 27(1):39–46.Crossref, Google Scholar
- (2019) Meta-curvature. Wallach H, Larochelle H, Beygelzimer A, d’ Alch’e-Buc F, Fox E, Garnett R, eds. Advances in Neural Information Processing Systems, vol. 32 (Curran Associates, Inc., Red Hook, NY), 3314–3324.Google Scholar
- (2018) Image retrieval based on a hybrid model of deep convolutional encoder. Proc. IEEE Internat. Conf. Intelligent Robotic Control Engineering (IEEE, New York), 257–262.Google Scholar
- (2006) gnuplot 4.0: A portable interactive plotting utility. J. Appl. Econometrics 21(1):133–141.Crossref, Google Scholar
- (2018) Privacy-preserving image retrieval for mobile devices with deep features on the cloud. Comput. Comm. 127:75–85.Crossref, Google Scholar
- (2002) Insertion based ants for vehicle routing problems with backhauls and time windows. Proc. Internat. Workshop Ant Algorithms (Springer, Berlin), 135–148.Google Scholar
- (2018) Meta-learning with latent embedding optimization. Preprint, submitted July 16, 2018, https://arxiv.org/abs/1807.05960.Google Scholar
- (2013) Image classification with the fisher vector: Theory and practice. Internat. J. Comput. Vision 105(3):222–245.Crossref, Google Scholar
- (2016) Stacked autoencoders for medical image search. Proc. Internat. Sympos. Visual Comput. (Springer, Berlin), 45–54.Google Scholar
- (2018) A lagrangian relaxation approach to fuzzy robust multi-objective facility location network design problem. Sci. Iranica Trans. E Industry Engrg. 25(3):1750–1767.Google Scholar
- (1988) Integer linear programming neural networks for job-shop scheduling. Proc. IEEE Internat. Conf. on Neural Networks (IEEE, New York), 341–348.Google Scholar
- (2020) On modulating the gradient for meta-learning. Proc. Eur. Conf. Comput. Vision (Springer, Berlin), 556–572.Google Scholar
- (2015) Toward content-based image retrieval with deep convolutional neural networks. Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 9417 (International Society for Optics and Photonics), 94172C.Google Scholar
- (2015) Matheuristics for the capacitated p-median problem. Internat. Trans. Oper. Res. 22(1):149–167.Crossref, Google Scholar
- (2019) Network design of a multi-period collaborative distribution system. Internat. J. Machine Learn. Cybernetics 10(2):279–290.Crossref, Google Scholar
- (2012) Scheduling major league baseball umpires and the traveling umpire problem. Interfaces 42(3):232–244.Link, Google Scholar
- (1996) A neural network approach to facility layout problems. Eur. J. Oper. Res. 89(3):556–563.Crossref, Google Scholar
- (2017) Sparsity invariant CNNs. Proc. Internat. Conf. 3D Vision (IEEE, New York), 11–20.Google Scholar
- (1999) Models for warehouse management: Classification and examples. Internat. J. Production Econom. 59(1-3):519–528.Crossref, Google Scholar
- (2017) Iterated local search for workforce scheduling and routing problems. J. Heuristics. 23(6):471–500.Crossref, Google Scholar
- (2015) Two exact algorithms for the traveling umpire problem. Eur. J. Oper. Res. 243(3):932–943.Crossref, Google Scholar
- (2010) Understanding bag-of-words model: A statistical framework. Internat. J. Machine Learn. Cybernetics 1(1-4):43–52.Crossref, Google Scholar
- Recent advance in content-based image retrieval: A literature survey. Preprint, submitted June 19, 2017, https://arxiv.org/abs/1706.06064.Google Scholar
- (2019) Fast context adaptation via meta-learning. Proc. Internat. Conf. Machine Learn. (PMLR), 7693–7702.Google Scholar

