In the context of optimization, a neighborhood refers to a set of points that are considered close to a particular point in a mathematical space. This concept is crucial for understanding the behavior of algorithms, as it helps to determine how solutions are explored and refined during the optimization process. A well-defined neighborhood allows algorithms to navigate through potential solutions and find optimal or near-optimal solutions effectively.
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