All Areas Submissions - September 2019
Stochastic Programming
The risk-averse ultimate pit problem
Gianpiero Canessa, Eduardo Moreno, Bernardo Pagnoncelli
Nonlinear Optimization
Derivative-Free Superiorization: Principle and Algorithm
Yair Censor, Edgar Garduño, Elias S. Helou, Gabor T. Herman
Integer Programming
Two-row and two-column mixed-integer presolve using hash-based pairing methods
Weikun Chen, Patrick Gemander, Ambros Gleixner, Leona Gottwald, Alexander Martin, Dieter Weninger
Combinatorial Optimization
Branch-and-Cut-and-Price for Multi-Agent Pathfinding
Edward Lam, Pierre Le Bodic, Daniel Harabor, Peter J. Stuckey
Nonlinear Optimization
Simultaneous iterative solutions for the trust-region and minimum eigenvalue subproblem
Ioannis Akrotirianakis, Melanie Gratton, Joshua Griffin, Seyedalireza Yektamaram , Wenwen Zhou
Integer Programming
Tight compact extended relaxations for nonconvex quadratic programming problems with box constraints
Sven de Vries, Bernd Perscheid
Nonlinear Optimization
An Average Curvature Accelerated Composite Gradient Method for Nonconvex Smooth Composite Optimization Problems
Jiaming Liang, Renato D.C. Monteiro
Integer Programming
Decentralized Online Integer Programming Problems with a Coupling Cardinality Constraint
Ezgi Karabulut, Shabbir Ahmed, George L. Nemhauser
Applications — Science and Engineering
An algorithm for optimization with disjoint linear constraints and its application for predicting rain
Tijana Janjic, Yvonne Ruckstuhl, Philippe L. Toint
Stochastic Programming
Penalized stochastic gradient methods for stochastic convex optimization with expectation constraints
Xiantao Xiao
Integer Programming
An improved extended formulation for the odd cycle inequalities of the stable set polytope
Sven de Vries, Bernd Perscheid
Nonlinear Optimization
Mixed-Integer Optimal Control under Minimum Dwell Time Constraints
Clemens Zeile, Nicolò Robuschi, Sebastian Sager
Stochastic Programming
Stationary Multistage Programs
Alexander Shapiro, Lingquan Ding
Linear, Cone and Semidefinite Programming
A relaxed interior point method for low-rank semidefinite programming problems
Stefania Bellavia, Jacek Gondzio, Margherita Porcelli
Robust Optimization
Robust Optimal Aiming Strategies in Concentrated Solar Tower Power Plants
Sascha Kuhnke, Pascal Richter, Fynn Kepp, Jeff Cumpston, Christina Büsing
Applications — OR and Management Sciences
A Computationally Efficient Algorithm for Computing Convex Hull Prices
Bernard Knueven, James Ostrowski, Anya Castillo, Jean-Paul Watson
Nonlinear Optimization
On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods
Amir Beck, Nadav Hallak
Nonlinear Optimization
Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach
Nadav Hallak, Marc Teboulle
Applications — Science and Engineering
Distance geometry and data science
Leo Liberti
Convex and Nonsmooth Optimization
Generalized Gradients in Problems of Dynamic Optimization, Optimal Control, and Machine Learning
Vladimir Norkin
Robust Optimization
Robust Optimization with Decision-Dependent Information Discovery
Phebe Vayanos, Angelos Georghiou, Han Yu
Nonlinear Optimization
Worst-case complexity bounds of directional direct-search methods for multiobjective derivative-free optimization
A. L. Cust\'{o}dio, Y. Diouane, R. Garmanjani, E. Riccietti
Nonlinear Optimization
Substantiation of the Backpropagation Technique via the Hamilton-Pontryagin Formalism for Training Nonconvex Nonsmooth Neural Networks
Vladimir I. Norkin
Robust Optimization
Probabilistic guarantees in Robust Optimization
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet
Applications — OR and Management Sciences
Exact approaches to the robust vehicle routing problem with time windows and multiple deliverymen
Jonathan De La Vega, Pedro Munari, Reinaldo Morabito
Convex and Nonsmooth Optimization
On Sum of Squares Representation of Convex Forms and Generalized Cauchy-Schwarz Inequalities
Bachir EL KHADIR
Applications — OR and Management Sciences
Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach
Minseok Ryu, Ruiwei Jiang
Stochastic Programming
Risk-Averse Optimal Control
Alois Pichler, Ruben Schlottter
Nonlinear Optimization
An Infeasible Interior-point Arc-search Algorithm for Nonlinear Constrained Optimization
Einosuke Iida, Yaguang Yang, Makoto Yamashita
Integer Programming
Implementing the branch-and-cut approach for a general purpose Benders' decomposition framework
Stephen J Maher
Combinatorial Optimization
On Integer and Bilevel Formulations for the k-Vertex Cut Problem
Fabio Furini, Ivana Ljubic, Enrico Malaguti, Paolo Paronuzzi
Integer Programming
Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms
Stephen J Maher, Ted K Ralphs, Yuji Shinano
Integer Programming
Integer linear programming formulations for the minimum connectivity inference problem and model reduction principles
Muhammad Abid Dar, Andreas Fischer, John Martinovic, Guntram Scheithauer
Applications — Science and Engineering
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components
Young Woong Park
Combinatorial Optimization
Casting light on the hidden bilevel combinatorial structure of the k-Vertex Separator problem
Fabio Furini, Ivana Ljubic, Enrico Malaguti, Paolo Paronuzzi
Nonlinear Optimization
An analysis of the superiorization method via the principle of concentration of measure
Yair Censor, Eliahu Levy
Nonlinear Optimization
Continuous selections of solutions for locally Lipschitzian equations
A.V. Arutyunov, A.F. Izmailov, S.E. Zhukovskiy
Linear, Cone and Semidefinite Programming
On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems
Dimitris Bertsimas, Ryan Cory-Wright
Other Topics
Objective Selection for Cancer Treatment: An Inverse Optimization Approach
Temitayo Ajayi, Taewoo Lee, Andrew Schaefer
Stochastic Programming
Stochastic generalized gradient methods for training nonconvex nonsmooth neural networks
Vladimir I. Norkin
Stochastic Programming
Stochastic Dynamic Linear Programming: A Sequential Sampling-based Multistage Stochastic Programming Algorithm
Harsha Gangammanavar, Suvrajeet Sen
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