Data Science Statistics
Genetic algorithms are search heuristics inspired by the process of natural selection that are used to solve optimization and search problems. They work by evolving solutions over generations through mechanisms such as selection, crossover, and mutation, allowing for the exploration of a vast solution space. This approach is particularly useful in scenarios where traditional optimization methods may struggle, making them an essential tool in machine learning and model selection.
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