Abstract: A new method is developed to adjust the forecast in case of a small number of observations or in the absence of standard patterns which can be detected by classical machine learning and ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

Abstract: Reinforcement learning (RL) is a subset of artificial intelligence in which a decision-making agent tries to act optimally in an environment by controlling different parameters. There is no ...