GitHub

A MATLAB Implementation of Heuristic Algorithms to Traveling Salesman Problem and Vehicle Routing Problems.

To explore the value of minimum distance that all vehicles travel in each time of route planning. (The type of the objective function can be something other than distance if one wish, such as time, ...
Nature

Vehicle Routing Optimization and Algorithms

Vehicle routing optimisation encompasses a range of mathematical and computational strategies aimed at determining the most efficient routes for vehicle fleets. This field addresses challenges such as ...
IEEE

CoQGR: A collaborative routing strategy integrating Q-learning and cooperative game theory for large-scale LEO satellite constellations

Abstract: Traditional routing techniques face considerable challenges in large-scale Low Earth Orbit (LEO) satellite networks for Internet of Things (IoT) data backhaul, such as slow convergence speed ...
IEEE

Toward the Age in Forwarding: A Deep Reinforcement Learning Enabled Routing Mechanism for Large-Scale Satellite Networks via Spatial–Temporal Graph Neural Networks

Abstract: In large-scale satellite networks, end-to-end data delivery confronts long propagation latency and dynamical connectivity, heavily challenging current routing strategies due to the ...
GitHub

dynamic-moe-router-kit

dynamic-moe-router-kit implements adaptive expert routing for Mixture-of-Experts (MoE) models, dynamically selecting the optimal number of experts per token based on input complexity. Based on the ...