Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning

Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning

Setting parameter values is crucial for the performance of metaheuristics. Tuning the parameters of a metaheuristic is a computationally costly task. Moreover, parameter tuning is difficult considering their inherent stochasticity and problem instance dependence. In this work, we explore the applica...

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Bibliographic Details
Main Authors: Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
automatic metaheuristic configuration
explainable artificial intelligence
machine learning
parameter values prediction
Online Access:https://www.mdpi.com/2076-3417/15/6/2946
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