Repair mechanisms are strategies and processes used to restore and enhance the performance of optimization algorithms when they encounter issues like stagnation or loss of diversity. These mechanisms are crucial for maintaining effective exploration and exploitation of the search space in optimization techniques, ensuring that solutions can adapt and evolve over time. In the context of optimization algorithms, these repair strategies can help overcome local optima and improve overall solution quality by enabling the algorithms to recover from poor performance or insufficient search behavior.
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