A local optimum refers to a solution that is better than its neighboring solutions but not necessarily the best overall solution within the entire problem space. This concept is important because it highlights how certain algorithms may converge to a solution that seems optimal based on local information, while potentially overlooking better global solutions. Understanding local optima is crucial in optimization processes, as it can influence the effectiveness of various problem-solving approaches.
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