research
∙
06/17/2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Recently there has been a surge of interest in operations research (OR) ...
share
research
∙
02/08/2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
Autonomous mobility-on-demand systems are a viable alternative to mitiga...
research
∙
02/05/2023
Regularization and Global Optimization in Model-Based Clustering
Due to their conceptual simplicity, k-means algorithm variants have been...
research
∙
01/24/2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again
Data-driven optimization uses contextual information and machine learnin...
research
∙
09/12/2022
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
We study the feature-based newsvendor problem, in which a decision-maker...
research
∙
09/09/2022
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?
Extensive research has been conducted, over recent years, on various way...
research
∙
07/15/2022
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
The classical hinge-loss support vector machines (SVMs) model is sensiti...
research
∙
05/28/2022
Optimal Decision Diagrams for Classification
Decision diagrams for classification have some notable advantages over d...
research
∙
05/27/2022
Robust Counterfactual Explanations for Random Forests
Counterfactual explanations describe how to modify a feature vector in o...
research
∙
10/28/2021
Share-a-ride problems: Models and Solution Algorithms
Some of today's greatest challenges in urban environments concern indivi...
research
∙
06/11/2021
Optimal Counterfactual Explanations in Tree Ensembles
Counterfactual explanations are usually generated through heuristics tha...
research
∙
04/05/2021
Semi-Supervised Clustering with Inaccurate Pairwise Annotations
Pairwise relational information is a useful way of providing partial sup...
research
∙
01/26/2021
Community Detection in the Stochastic Block Model by Mixed Integer Programming
The Degree-Corrected Stochastic Block Model (DCSBM) is a popular model t...
research
∙
11/23/2020
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood
The vehicle routing problem is one of the most studied combinatorial opt...
research
∙
04/29/2020
Arc Routing with Time-Dependent Travel Times and Paths
Vehicle routing algorithms usually reformulate the road network into a c...
research
∙
04/21/2020
Assortative-Constrained Stochastic Block Models
Stochastic block models (SBMs) are often used to find assortative commun...
research
∙
03/24/2020
Born-Again Tree Ensembles
The use of machine learning algorithms in finance, medicine, and crimina...
research
∙
12/24/2019
PILS: Exploring high-order neighborhoods by pattern mining and injection
We introduce pattern injection local search (PILS), an optimization stra...
research
∙
10/10/2019
A simple and effective hybrid genetic search for the job sequencing and tool switching problem
The job sequencing and tool switching problem (SSP) has been extensively...
research
∙
06/16/2019
A concise guide to existing and emerging vehicle routing problem variants
Vehicle routing problems have been the focus of extensive research over ...
research
∙
05/02/2019
Benchmark Instances and Branch-and-Cut Algorithm for the Hashiwokakero Puzzle
Hashiwokakero, or simply Hashi, is a Japanese single-player puzzle playe...
research
∙
12/19/2018
2D-Phase Unwrapping via Balanced Spanning Forests
Phase unwrapping is the process of recovering a continuous phase signal ...
research
∙
09/27/2018
Industrial and Tramp Ship Routing Problems: Closing the Gap for Real-Scale Instances
In a recent study, Hemmati et al. (2014) proposed a class of ship routin...
research
∙
08/28/2018
An Efficient Matheuristic for the Minimum-Weight Dominating Set Problem
A minimum dominating set in a graph is a minimum set of vertices such th...
research
∙
04/25/2018
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
Minimum sum-of-squares clustering (MSSC) is a widely used clustering mod...
research
∙
03/16/2018
Heuristics for vehicle routing problems: Sequence or set optimization?
We investigate a structural decomposition for the capacitated vehicle ro...
research
∙
03/13/2018
Mathematical models and search algorithms for the capacitated p-center problem
The capacitated p-center problem requires to select p facilities from a ...
research
∙
03/09/2018
The Electric Two-echelon Vehicle Routing Problem
Two-echelon distribution systems are attractive from an economical stand...
research
∙
02/18/2018
Large Neighborhood-Based Metaheuristic and Branch-and-Price for the Pickup and Delivery Problem with Split Loads
We consider the multi-vehicle one-to-one pickup and delivery problem wit...
research
∙
04/26/2014
