Analytics and machine learning in vehicle routing research
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial
optimisation problems for which numerous models and algorithms have been proposed. To …
optimisation problems for which numerous models and algorithms have been proposed. To …
An approximate dynamic programming approach for the vehicle routing problem with stochastic demands
This paper examines approximate dynamic programming algorithms for the single-vehicle
routing problem with stochastic demands from a dynamic or reoptimization perspective. The …
routing problem with stochastic demands from a dynamic or reoptimization perspective. The …
Vehicle routing problem with uncertain demands: An advanced particle swarm algorithm
The Vehicle Routing Problem (VRP) has been thoroughly studied in the last decades.
However, the main focus has been on the deterministic version where customer demands …
However, the main focus has been on the deterministic version where customer demands …
Using safety stocks and simulation to solve the vehicle routing problem with stochastic demands
After introducing the Vehicle Routing Problem with Stochastic Demands (VRPSD) and some
related work, this paper proposes a flexible solution methodology. The logic behind this …
related work, this paper proposes a flexible solution methodology. The logic behind this …
Adaptive multi-phase approach for solving the realistic vehicle routing problems in logistics with innovative comparison method for evaluation based on real GPS data
Transportation management, as a part of the supply chain management, is a complex
process that consists of planning and delivering goods to customers. The paper presents a …
process that consists of planning and delivering goods to customers. The paper presents a …
The vehicle-routing problem
F Daneshzand - Logistics Operations and Management, 2011 - books.google.com
In brief, the solution of vehicle-routing problem (VRP) determines a set of routes that starts
and ends at its own depot, each performed by a single vehicle in a way that minimizes the …
and ends at its own depot, each performed by a single vehicle in a way that minimizes the …
Metaheuristic approach for the multi-depot vehicle routing problem
Distribution logistics comprises all activities related to the provision of finished products and
merchandise to a customer. The focal point of distribution logistics is the shipment of goods …
merchandise to a customer. The focal point of distribution logistics is the shipment of goods …
[PDF][PDF] A hybrid particle swarm optimization with genetic operators for vehicle routing problem
The Vehicle Routing Problem (VRP) is a NP-hard and Combinatorial optimization problem.
Combinatorial optimization problem can be viewed as searching for best element in a set of …
Combinatorial optimization problem can be viewed as searching for best element in a set of …
[PDF][PDF] A set-partitioning-based model for the stochastic vehicle routing problem
The objective of the Vehicle Routing Problem (VRP) is to construct a minimum cost set of
vehicle routes that visits all customers and satisfies demands without violating the vehicle …
vehicle routes that visits all customers and satisfies demands without violating the vehicle …
Leveraging machine learning to solve The vehicle Routing Problem with Time Windows
J Poullet - 2020 - dspace.mit.edu
The Vehicle Routing Problem with Time Windows (VRPTW) has been widely studied in the
Operations Research (OR) literature given its increasingly widespread applications, ranging …
Operations Research (OR) literature given its increasingly widespread applications, ranging …