Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design
The proposed learning-assisted Tabu Search notably reduces computation time while consistently producing higher-quality solutions than the standard algorithm, highlighting the potential of combining machine learning with metaheuristics by leveraging the implicit knowledge embedded in search trajectories.
Wissem Ahmed Zaid, Alain Hertz, Denny Liu
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