Evolutionary algorithms (EAs) are a subset of optimization algorithms inspired by the principles of natural evolution. They are used to solve complex problems by mimicking the processes of natural selection, adaptation, and evolution in biological systems. EAs are particularly useful for optimization problems where the search space is large, complex, or poorly understood.
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