2 papers
cs.LG2024
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems
Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert +2
This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, t…
math.OC2024
A rolling horizon heuristic approach for a multi-stage stochastic waste collection problem
Andrea Spinelli, Francesca Maggioni, Tânia Rodrigues Pereira Ramos +2
In this paper we present a multi-stage stochastic optimization model to solve an inventory routing problem for recyclable waste collection. The objective is the maximization of the…