ML-assisted Vehicle Routing Under Uncertainty
Implemented a metaheuristic delivery schedule search algorithm with black-box routing simulation and derivative-free optimization (DFO) solver.
On-going Developing time series forecasting algorithm to learn from historical customer orders data and generate new synthetic time-series data in unsupervised/supervised fashion.
Next step Build and train an NN model to estimate transportation cost over a time span with customer-managed account uncertainties.