[HTML][HTML] A graph reinforcement learning framework for neural adaptive large neighbourhood search
Abstract Adaptive Large Neighbourhood Search (ALNS) is a popular metaheuristic with
renowned efficiency in solving combinatorial optimisation problems. However, despite 18 …
renowned efficiency in solving combinatorial optimisation problems. However, despite 18 …
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
The Adaptive Large Neighborhood Search (ALNS) algorithm has shown considerable
success in solving complex combinatorial optimization problems (COPs). ALNS selects …
success in solving complex combinatorial optimization problems (COPs). ALNS selects …
Online control of adaptive large neighborhood search using deep reinforcement learning
Abstract The Adaptive Large Neighborhood Search (ALNS) algorithm has shown
considerable success in solving combinatorial optimization problems (COPs). Nonetheless …
considerable success in solving combinatorial optimization problems (COPs). Nonetheless …
Feature-based search space characterisation for data-driven adaptive operator selection
Combinatorial optimisation problems are known as unpredictable and challenging due to
their nature and complexity. One way to reduce the unpredictability of such problems is to …
their nature and complexity. One way to reduce the unpredictability of such problems is to …
Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm
Y Li, M Mohammadi, X Zhang, Y Lan… - arXiv preprint arXiv …, 2024 - arxiv.org
Mixed service mode docks enhance efficiency by flexibly handling both loading and
unloading trucks in warehouses. However, existing research often predetermines the …
unloading trucks in warehouses. However, existing research often predetermines the …
Learning to Optimise Networked Systems
VA Darvariu - 2023 - discovery.ucl.ac.uk
Many systems based on relations between connected entities find a natural representation
in graphs, which has led to the development of mathematical and statistical tools for …
in graphs, which has led to the development of mathematical and statistical tools for …