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Metaheuristic optimization algorithms, inspired by natural processes and the behavior of biological organisms, have been extensively explored in recent years and are rapidly finding applications in real-world systems. These algorithms are formulated on the principles of biomimetics, mimicking the behavior of biological systems to solve an optimization problem. Developing computationally efficient algorithms has become a primary design objective with the advent of big data, deep learning, and artificial intelligence (AI).
