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 ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
InfoQ

Enhancing A/B Testing at DoorDash with Multi-Armed Bandits

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
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 ...