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Metaheuristic algorithms are nature-inspired heuristic techniques designed to find suitable solutions by exploring the solution space in a broader and more flexible manner than classical optimization methods. These algorithms are specifically engineered to reach global optimal solutions for complex problems characterized by high dimensionality, multimodality, or discrete or continuous structures. They typically rely on stochastic processes and offer general search strategies that are not problem

Metaheuristic Algorithms are nature-inspired heuristic techniques designed to find suitable solutions by exploring the solution space in a broader and more flexible manner than classical optimization methods. These algorithms are specifically engineered to reach global optima in complex problems characterized by high dimensionality, multimodality, discrete or continuous structures. They typically rely on stochastic processes and provide general search strategies that are not problem-specific. Th