Find the most efficient routes for vehicles to reach visits, taking into account vehicle capacity and time windows when visits are available. Sometimes also called "CVRPTW".

Abstract: With the continuous advancement of transportation systems, leveraging Vehicular Crowdsensing (VCS) for data collection and analysis within digital cities has become a promising paradigm.

Abstract: Large language models (LLMs) trained on code-completion can create basic Python programs from docstrings. Given commands in normal language, we discover that these code-writing LLMs may be ...