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