Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem

Giovani Farias, Timotio Cubaque, Eder Gonçalves, Diana Adamatti

2024

Abstract

The vehicle routing problem presents an intricate challenge within logistics and cargo transport. The primary objective is to determine the most efficient vehicle routes to visit a designated set of clients while minimizing overall transportation costs. The capacitated vehicle routing problem represents a specific variation of this challenge, introducing constraints such as routes commencing and concluding at the same depot, assigning each client to a single vehicle, and ensuring that the total demand for a route does not exceed the vehicle’s capacity. This paper explores the hypothesis that optimal optimization strategy is contingent on spatial data density. Thereby, we evaluate various routing strategies using heuristic methods and ensemble techniques applied to spatial data. The goal is to identify the most effective strategy tailored to a specific spatial data pattern. To accomplish this, we employ two clustering methods – K-means and DBSCAN – to group clients based on their geographical locations. Additionally, we utilize the nearest neighbor heuristic to generate initial solutions, which are subsequently refined through the implementation of the 2-Opt method. Through experiments, we demonstrate the impact of each approach on the resulting routes, taking into account the spatial data distribution.

Paper Citation

in Harvard Style

Farias G., Cubaque T., Gonçalves E. and Adamatti D. (2024). Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 305-312. DOI: 10.5220/0012634300003690

in Bibtex Style

@conference{iceis24,
author={Giovani Farias and Timotio Cubaque and Eder Gonçalves and Diana Adamatti},
title={Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012634300003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Analyzing Spatial Data with Heuristics Methods and Ensemble: A Case Study of Vehicle Routing Problem
SN - 978-989-758-692-7
AU - Farias G.
AU - Cubaque T.
AU - Gonçalves E.
AU - Adamatti D.
PY - 2024
SP - 305
EP - 312
DO - 10.5220/0012634300003690
PB - SciTePress