Paper Info
Title
Variable Neighborhood Search Algorithms for the multi-depot dial-a-ride problem with heterogeneous vehicles and users.
Abstract
In this work, a study on Variable Neighborhood Search algorithms for multi-depot dial-a-ride problems is presented. In dial-a-ride problems patients need to be transported from pre-specified pickup locations to pre-specified delivery locations, under different considerations. The addressed problem presents several constraints and features, such as heterogeneous vehicles, distributed in different depots, and heterogeneous patients. The aim is of minimizing the total routing cost, while respecting time-window, ride-time, capacity and route duration constraints. The objective of the study is of determining the best algorithm configuration in terms of initial solution, neighborhood and local search procedures. At this aim, two different procedures for the computation of an initial solution, six different type of neighborhoods and five local search procedures, where only intra-route changes are made, have been considered and compared. We have also evaluated an adjusting procedure that aims to produce feasible solutions from infeasible solutions with small constraints violations. The different VNS algorithms have been tested on instances from literature as well as on random instances arising from a real-world healthcare application.
Year
Venue
Field
2016
arXiv: Discrete Mathematics
Mathematical optimization,Variable neighborhood search,Algorithm configuration,Algorithm,Local search (optimization),Mathematics,Computation
DocType
Volume
Citations 
Journal
abs/1611.05187
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Paolo Detti114419.55
Garazi Zabalo Manrique de Lara200.68