Dataset for the Multiple Trip Aircraft Refueling Problem
Description
This dataset provides all benchmark instances used in the article “The Multiple Trip Aircraft Refueling Problem: MILP Modeling and a Hybrid Metaheuristic Approach”, enabling the complete replication of the computational experiments reported in the article. It consists of a test instance set with five small to medium-sized instances, a set with fifteen small and medium-sized instances relating to aircraft parked in a straight line, and another with fourteen instances, also small and medium-sized, relating to aircraft not parked in a straight line. All data is available in plain text and Excel formats to facilitate analysis.
Files
Steps to reproduce
These instances are based on real-world scenarios from Brazilian airports and are organized into two main categories: one set where aircraft are parked in a straight line (referred to as the APSL-MT set) and another where aircraft are arranged irregularly (referred to as the ANPSL-MT set). The article “The Multiple Trip Aircraft Refueling Problem: MILP Modeling and a Hybrid Metaheuristic Approach” provide detailed information on the characteristics of each instance. The construction of these sets was based on premises identified through dialogues and questionnaires conducted with employees of the company studied and through data from the FlightAware platform. FlightAware operates the largest flight data and tracking platform in the world, ensuring the quality of the data used.