
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.


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routeexplainer-explanation-framework-for-vehicle-routing-problem


RouteExplainer: Explanation Framework for Vehicle Routing Problem


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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.


Optimal-Fleet-Composition-with-Monte-Carlo-Tree-Search


Optimal Fleet Composition with Monte-Carlo Tree Search
