All Areas Submissions  November 2021
Robust Optimization
Globalized Distributionally Robust Counterpart: Model, Reformulation, and Applications
Feng Liu, Zhi Chen, Shuming Wang
Applications — OR and Management Sciences
Network Migration Problem: A Logicbased Benders Decomposition Driven by Column Generation and Constraint Programming
Maryam Daryalal, Hamed Pouya
Nonlinear Optimization
Quadratic Regularization Methods with FiniteDifference Gradient Approximations
Geovani Grapiglia
Global Optimization
Adaptive discretization algorithms for unbounded semiinfinite programs
Daniel Jungen, Hatim Djelassi, Alexander Mitsos
Complementarity and Variational Inequalities
Mirrorprox sliding methods for solving a class of monotone variational inequalities
Guanghui Lan, Yuyuan Ouyang
Stochastic Programming
Convex ChanceConstrained Programs with Wasserstein Ambiguity
Haoming Shen, Ruiwei Jiang
Convex and Nonsmooth Optimization
Balancing preferential access and fairness with an application to wastemanagement: mathematical models, optimality conditions, and heuristics
Christian Schmitt, Bismark Singh
Nonlinear Optimization
On Componental Operators in Hilbert Space
Andrzej Cegielski, Yair Censor
Linear, Cone and Semidefinite Programming
Strong duality of a conic optimization problem with two cones and a single equality constraint
Sunyoung KIm, Masakazu Kojima
Convex and Nonsmooth Optimization
Solution to a Monotone Inclusion Problem using the Relaxed PeacemanRachford Splitting Method: Convergence and its Rates
Chee Khian Sim
Integer Programming
Exact and Heuristic Solution Techniques for MixedInteger Quantile Minimization Problems
Diego Cattaruzza, Martine Labbé, Matteo Petris, Marius Roland, Martin Schmidt
Applications — OR and Management Sciences
A Robust Optimization Method with Successive Linear Programming for Intensity Modulated Radiation Therapy
Masaaki Tamai, Makoto Yamashita
Robust Optimization
A Column Generation Scheme for Distributionally Robust MultiItem Newsvendor Problems
Shanshan Wang, Erick Delage
Integer Programming
MixedInteger Optimization with Constraint Learning
Donato Maragno, Holly Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe Fajemisin
Nonlinear Optimization
ModelBased DerivativeFree Methods for ConvexConstrained Optimization
Matthew Hough, Lindon Roberts
Integer Programming
Exact Methods for Discrete GammaRobust MinMax Problems
Yasmine Beck, Ivana Ljubić, Martin Schmidt
Combinatorial Optimization
Simple odd betacycle inequalities for binary polynomial optimization
Alberto Del Pia, Matthias Walter
Applications — Science and Engineering
On the Fairness of Aggregator's Incentives in Residential Demand Response
Michael David de Souza Dutra, Natalia Alguacil
Robust Optimization
Distributionally Robust Optimization with Expected Constraints via Optimal Transport
Diego Fonseca, Mauricio Junca
Integer Programming
On the Complexity of Separation From the Knapsack Polytope
Alberto Del Pia, Jeff Linderoth, Haoran Zhu
Nonlinear Optimization
Bolstering Stochastic Gradient Descent with Model Building
S. Ilker Birbil, Ozgur Martin, Gonenc Onay, Figen Oztoprak
Integer Programming
SchreierSims Cuts meet Stable Set: Preserving Problem Structure when Handling Symmetries
Christopher Hojny, Marc E Pfetsch, José Verschae
Combinatorial Optimization
The Price of Anarchy in SeriesParallel NetworkCongestion Games with Polynomial Delays
Bainian Hao, Carla Michini
Linear, Cone and Semidefinite Programming
Revisiting semidefinite programming approaches to options pricing: complexity and computational perspectives
Didier Henrion, Felix Kirschner, Etienne de Klerk, Milan Korda, Jean Bernard Lasserre, Victor Magron
Integer Programming
Sparse MultiTerm Disjunctive Cuts for the Epigraph of a Function of Binary Variables
Rui Chen, James Luedtke
Applications — OR and Management Sciences
Middle Mile Consolidation Network Design with Fixed Origins and Destinations: TimeConstrained RateBased Models
Lacy Greening, Mathieu Dahan, Alan Erera
Stochastic Programming
Stochastic Dual Dynamic Programming for Optimal Power Flow Problems under Uncertainty
Adriana Kiszka, David Wozabal
Linear, Cone and Semidefinite Programming
Duality aspects in convex conic programming
Maria Trnovska, Jakub Hrdina
Integer Programming
Modeling Design and Control Problems Involving Neural Network Surrogates
Dominic Yang, Prasanna Balaprakash, Sven Leyffer
Linear, Cone and Semidefinite Programming
Stochastic infinity norm optimization and primal interiorpoint decomposition algorithms
Baha Alzalg
Applications — OR and Management Sciences
FreightonTransit for urban lastmile deliveries: A Strategic Planning Approach
Diego Delle Donne, Laurent Alfandari, Claudia Archetti, Ivana Ljubic
Convex and Nonsmooth Optimization
Nonlinear conjugate gradient for smooth convex functions
Sahar Karimi, Stephen Vavasis
Robust Optimization
On approximate solutions for robust semiinfinite multiobjective convex symmetric cone optimization
Baha Alzalg, Amira Achouak Oulha
Robust Optimization
Adaptive robust optimization with discrete uncertainty
Henri Lefebvre, Enrico Malaguti, Michele Monaci
Robust Optimization
Reformulation for a twostage robust facility location problem
Henri Lefebvre, Enrico Malaguti, Michele Monaci
Nonlinear Optimization
Hierarchically constrained blackbox optimization
Stéphane Alarie, Charles Audet, Paulin Jacquot, Sébastien Le Digabel
Applications — Science and Engineering
Analysis nonsparse recovery for nonconvex relaxed $\ell_q$ minimization
Jianwen Huang, Feng Zhang, Xinling Liu, Jianjun Wang
Applications — Science and Engineering
Reaching Paris Agreement Goal through CDR/DAC Development: a Compact OR Model
F Babonneau, A Haurie, M Vielle
Convex and Nonsmooth Optimization
An inexact primaldual method with correction step for a saddle point problem in image debluring
Fang Changjie, Hu Liliang, Chen Shenglan
Applications — OR and Management Sciences
Incremental Network Design with Multicommodity Flows
Ian Herszterg, Martin Savelsbergh
Integer Programming
Balancedness in the Weighted Rectangles Partitioning Problem
Paul Deuker, Ulf Friedrich
Convex and Nonsmooth Optimization
Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
X.Y. Han, Adrian S. Lewis
