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The algorithm integrates advanced mathematical models, combining tabu search and hill-climbing techniques within its local search process to improve optimization. It also incorporates a mutation operator based on a dynamic distribution L\u00e9vy flight, enhancing adaptability and efficiency in finding global optimal solutions. As a wrapper FS model, it uses the C4.5 classifier to evaluate feature subsets. Experimental evaluation on 20 real-world datasets demonstrated an average accuracy improvement of 11.9% and a 42.6% reduction in false alarms, highlighting its superior efficiency and robustness compared to seven state-of-the-art algorithms. 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