Machine-learning-based hyper-heuristics for solving the Knapsack Problem

José Eduardo Zárate-Aranda

doi:10.1016/j.patrec.2025.03.011

Machine-learning-based hyper-heuristics for solving the Knapsack Problem

2025-03-13

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José Eduardo Zárate-Aranda

J

José Carlos Ortíz-Bayliss

DOI：10.1016/j.patrec.2025.03.011

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Abstract

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• We treat the hyper-heuristic process as a classification task. • We evaluate aspects related to generalization of hyper-heuristics. • We observed that not all the ML models are suitable for generating HHs. • We obtain evidence that kNN produces highly competent hyper-heuristics.

Machine-learning-based hyper-heuristics for solving the Knapsack Problem

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