Collaborative truck–robot deliveries: challenges, models, and methods
S Yu - Annals of Operations Research, 2024 - Springer
Robot-based urban last-mile deliveries have recently attracted increasing attention from
scientific research and industry. In particular, truck–robot delivery models are emerging as …
scientific research and industry. In particular, truck–robot delivery models are emerging as …
Graph reinforcement learning for operator selection in the ALNS metaheuristic
ALNS is a popular metaheuristic with renowned efficiency in solving combinatorial
optimisation problems. However, despite 16 years of intensive research into ALNS, whether …
optimisation problems. However, despite 16 years of intensive research into ALNS, whether …
[HTML][HTML] Learning to Guide Local Search Optimisation for Routing Problems
Abstract Machine learning has shown promises in tackling routing problems yet falls short of
state-of-the-art solutions achieved by stand-alone operations research algorithms. This …
state-of-the-art solutions achieved by stand-alone operations research algorithms. This …
Q-Learning Based Framework for Solving the Stochastic E-waste Collection Problem
Abstract Electrical and Electronic Equipment (EEE) has evolved into a gateway for
accessing technological innovations. However, EEE imposes substantial pressure on the …
accessing technological innovations. However, EEE imposes substantial pressure on the …
Check for updates GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
ALNS is a popular metaheuristic with renowned efficiency in solving combinatorial
optimisation problems. However, despite 16 years of intensive research into ALNS, whether …
optimisation problems. However, despite 16 years of intensive research into ALNS, whether …
[PDF][PDF] Deep Reinforcement Learning-driven Metaheuristics towards an AI Foundation Model for Multi-Objective Optimisation
FJWB van Oordt - research.tue.nl
Abstract This Master Thesis explores the generalisability of optimisation algorithms.
Although it's feasible to develop highly effective problem-specific methods for optimisation …
Although it's feasible to develop highly effective problem-specific methods for optimisation …