Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Abstract: In this paper, we present the Time-Dependent Vehicle Routing Problem with Fleet and Crew Assignment (TD-VRPFCA), which aims to design efficient delivery routes in urban environments ...

The auction algorithm is a simple, well-studied alternative to the Hungarian method that: scales well to large problems, is naturally parallelisable and fits JAX’s accelerator model, is widely used in ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...

Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment by receiving feedback as rewards. A significant challenge in RL is ...