Optimization Online


Optimization Online Digest — September 2021

Applications — OR and Management Sciences

Capturing Unit Startup and Shutdown Uncertainties in the Real-time Commitment Process
Shengfei Yin, Yonghong Chen, Bernard Knueven, Long Zhao, Mohammad Faqiry , Anupam Thatte , Jianhui Wang

Heuristics for Home Appliances Scheduling Problems With Energy Consumption Bounds
Sebastián Taboh, Isabel Méndez-Díaz, Paula Zabala

Integer Optimization Model and Algorithm for the Stem Cell Culturing Problem
Jongyoon Park, Jinil Han, Kyungsik Lee

Stochastic Scheduling of Chemotherapy Appointments Considering Patient Acuity Levels
Sirma Karakaya, Serhat Gul, Melih Celik

Multi-Mode Capacitated Lot Sizing Problem with Periodic Carbon Emission Constraints
Esra Koca, G.Irmak Koksalan

The multiphase course timetabling problem
Rasul Esmaeilbeigi, Vicky Mak-Hau, John Yearwood, Vivian Nguyen

Approximate Dynamic Programming for Crowd-shipping with In-store Customers
Kianoush Mousavi, Merve Bodur, Mucahit Cevik, Matthew J. Roorda

Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson

Applications — Science and Engineering

Nonlinear matrix recovery using optimization on the Grassmann manifold
Florentin Goyens, Coralia Cartis, Armin Eftekhari

Combinatorial Optimization

A New Bilevel Optimization Approach for Computing Ramsey Numbers
Fabio Furini, Ivana Ljubic, Pablo San Segundo

A fully polynomial time approximation scheme for the probability maximizing shortest path problem
Jisun Lee, Seulgi Joung, Kyungsik Lee

On the generation of Metric TSP instances with a large integrality gap by branch-and-cut.
Eleonora Vercesi, Stefano Gualandi, Monaldo Mastrolilli, Luca Maria Gambardella

Convex and Nonsmooth Optimization

A very simple analysis of higher order liftings for binary problems
Florian Jarre

Log-domain interior-point methods for quadratic programming
Frank Permenter

Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
Ziyu He, Shaoning Han, Andres Gomez, Ying Cui, Jong-Shi Pang

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Minhui Huang, Shiqian Ma, Lifeng Lai

Integer Programming

Stochastic mixed-integer second-order cone optimization
Baha Alzalg

Submodular Interval Scheduling
Christopher Muir, Alejandro Toriello

Presolving for Mixed-Integer Semidefinite Optimization
Frederic Matter, Marc E Pfetsch

Linear, Cone and Semidefinite Programming

Tight error bounds and facial residual functions for the p-cones and beyond
Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

Nonlinear Optimization

A Cubic Regularization of Newton's Method with Finite-Difference Hessian Approximations
Geovani Grapiglia, Max Gonçalves, Gilson Silva

Extension of the delayed weighted gradient method for the minimization of strongly convex functions
R. Andreani, H. Oviedo, M. Raydan, L.D. Secchin

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery
Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet

Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
Raghu Bollapragada, Stefan Wild

Dual descent ALM and ADMM
Kaizhao Sun , Andy Sun

Projection Robust Wasserstein Barycenters
Minhui Huang, Shiqian Ma, Lifeng Lai

Regularized Step Directions in Conjugate Gradient Minimization for Machine Learning
Cassidy K. Buhler, Hande Y. Benson, David F. Shanno

The equilateral small octagon of maximal width
Christian Bingane, Charles Audet

Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Tommaso Giovannelli, Griffin Kent, Luis Nunes Vicente

Optimization Software and Modeling Systems

Scalable Parallel Nonlinear Optimization with PyNumero and Parapint
Jose Rodriguez, Robert Parker, Carl Laird, Bethany Nicholson, John Siirola, Michael Bynum

EETTlib - Energy-Efficient Train Timetabling Library
Andreas Bärmann, Patrick Gemander, Lukas Hager, Frederik Noeth, Oskar Schneider

Robust Optimization

Pareto Robust Optimization on Euclidean Vector Spaces
Dennis Adelhütte, Christian Biefel, Martina Kuchlbauer, Jan Hendrik Rolfes

Data-Driven Distributionally Preference Robust Optimization Models Based on Random Utility Representation in Multi-Attribute Decision Making
Jian Hu, Dali Zhang, Huifu Xu

Sinkhorn Distributionally Robust Optimization
Jie Wang, Rui Gao, Yao Xie

Stochastic Programming

Multistage Stochastic Fractionated Intensity Modulated Radiation Therapy Planning
Juyoung Wang, Mucahit Cevik, Merve Bodur, Mark Ruschin

Effective Scenarios in Multistage Distributionally Robust Optimization with a Focus on Total Variation Distance
Hamed Rahimian, Guzin Bayraksan, Tito Homem-de-Mello

Confidence Interval Software for Multi-stage Stochastic Programs
Xiaotie Chen, Sylvain Cazaux, Brian Knight, David Woodruff

Other Topics

A quasi-Newton method with Wolfe line searches for multiobjective optimization
L. F. Prudente, D. R. Souza

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