Sökning: "Vehicle Routing Problem VRP"
Visar resultat 11 - 15 av 24 uppsatser innehållade orden Vehicle Routing Problem VRP.
11. A Comparative Study on a Dynamic Pickup and Delivery Problem : Improving routing and order assignment in same-day courier operations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Pickup and Delivery Problems (PDPs) constitute a class of Vehicle Routing Problems (VRPs) consisting of finding the optimal routes for a fleet of vehicles to deliver requests from a set of origin locations to a corresponding set of destinations. PDPs are NP-hard and have a wide variety of variants and potential constraints. LÄS MER
12. A pragmatic approach to improve the efficiency of the waste management system in Stockholm through the use of Big Data, Heuristics and open source VRP solvers : A real life waste collection problem;Stockholm’s waste collection system and inherent vehicle routing problem, VRP
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : In this thesis, we will address a real life waste collection problem; Stockholm’s waste collection system and inherent vehicle routing problem, VRP. To do this we will first delve into some mathematical theory of Combinatorial Optimization and Heuristics to understand the fundamentals of the problem. LÄS MER
13. A New Approach for Solving the Disruption in Vehicle Routing Problem During the Delivery : A Comparative Analysis of VRP Meta-Heuristics
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Context. The purpose of this research paper is to describe a new approach for solving the disruption in the vehicle routing problem (DVRP) which deals with the disturbance that will occur unexpectedly within the distribution area when executing the original VRP plan. LÄS MER
14. Warehouse Vehicle Routing using Deep Reinforcement Learning
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : In this study a Deep Reinforcement Learning algorithm, MCTS-CNN, is applied on the Vehicle Routing Problem (VRP) in warehouses. Results in a simulated environment show that a Convolutional Neural Network (CNN) can be pre-trained on VRP transition state features and then effectively used post-training within Monte Carlo Tree Search (MCTS). LÄS MER
15. RUTTOPTIMERING INOM HEMTJÄNSTEN - KAN ETT FÖRDELNINGSOPTIMERINGSSYSTEM FÖRBÄTTRA HEMTJÄNSTENS TRANSPORTER UR ETT MILJÖPERSPEKTIV?
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : I denna studie undersöks hur ett fördelningsoptimeringssystem kan appliceras i den kommunala hemtjänsten i syfte att vara ett steg för att nå Sveriges miljömål. Miljömålet innebär att Sverige ska nå en fossiloberoende fordonsflotta till år 2030. LÄS MER