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Metaheuristic, models and software for the heterogeneous fleet pickup and delivery problem with split loads

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Author(s):
Gasque, Diogenes ; Munari, Pedro
Total Authors: 2
Document type: Journal article
Source: JOURNAL OF COMPUTATIONAL SCIENCE; v. 59, p. 13-pg., 2022-03-01.
Abstract

This paper addresses a rich variant of the vehicle routing problem (VRP) that involves pickup and delivery activities, customer time windows, heterogeneous fleet, multiple products and the possibility of splitting a customer demand among several routes. This variant generalizes traditional VRP variants by incorporating features that are commonly found in practice. We present two mixed-integer programming models and propose a metaheuristic based on Adaptive Large Neighborhood Search for the addressed problem. Additionally, to facilitate the use of the proposed approaches in real-world decision-making, we develop an open-source, publicly available web interface that allows one to set and solve VRP variants with the mentioned features. Computational experiments using benchmark instances with up to 150 customers show that the approaches can be used to obtain good-quality solutions in a reasonable time frame in practice. (AU)

FAPESP's process: 19/23596-2 - Rich vehicle routing problems: models and algorithms for deterministic and stochastic variants
Grantee:Pedro Augusto Munari Junior
Support Opportunities: Regular Research Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:José Alberto Cuminato
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/24763-1 - Formulations and solution methods for the pickup and delivery problem with time windows, heterogeneous fleet and multiple products
Grantee:Diógenes Henrique Frazzato Gasque
Support Opportunities: Scholarships in Brazil - Master