Machine Learning Assisted Hybrid Genetic Algorithm Applied to the Knapsack Problem with Forfeits
Gabriel Souto · Luidi Simonetti · Claudio De Farias · Pedro Henrique González
Abstract
This paper presents ML-HBRKGA, a hybrid approach combining a Biased Random-Key Genetic Algorithm (BRKGA) with Q-learning and a Random Forest Regressor with Local Branching to solve the Knapsack Problem with Forfeits (KPF).
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