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Ben Mati Mulatya
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The Hybrid Metaheuristic Algorithm (HMA) is a cutting-edge optimization approach that combines the strengths of genetic algorithms with the best features of population-based algorithms. Its high-speed computation ensures unparalleled accuracy and efficient search capabilities, significantly reducing the total time required for optimization while identifying optimal solutions in fewer iterations. HMA outperforms all known population optimization algorithms in both speed and accuracy. Use Cases AO