research
∙
12/01/2022
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
We study the algorithm configuration (AC) problem, in which one seeks to...
share
research
∙
07/19/2022
Solving the unit-load pre-marshalling problem in block stacking storage systems with multiple access directions
Block stacking storage systems are highly adaptable warehouse systems wi...
research
∙
07/13/2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Neural approaches for combinatorial optimization (CO) equip a learning m...
research
∙
02/03/2022
A Survey of Methods for Automated Algorithm Configuration
Algorithm configuration (AC) is concerned with the automated search of t...
research
∙
01/25/2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
This paper reports on the first international competition on AI for the ...
research
∙
06/09/2021
Efficient Active Search for Combinatorial Optimization Problems
Recently numerous machine learning based methods for combinatorial optim...
research
∙
03/18/2021
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
We consider black-box optimization in which only an extremely limited nu...
research
∙
11/21/2019
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
Learning how to automatically solve optimization problems has the potent...
research
∙
09/28/2017
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem
One of the key challenges for operations researchers solving real-world ...
research
∙
06/08/2015
