RouteExplainer proposes a post-hoc explanation framework that elucidates the influence of each edge in a generated route, enhancing explainability for practical applications in vehicle routing problems.
The author presents a hybrid optimization algorithm combining Monte-Carlo Tree Search and Branch & Bound to solve the Fleet Size and Mix Vehicle Routing Problem efficiently.