evolutionary algorithms
Evolutionary algorithms are computational methods inspired by the principles of biological evolution, used to solve optimization and search problems. They involve creating a population of potential solutions, applying genetic operations like crossover and mutation to generate new offspring, and evaluating their fitness based on a specific objective function. Through repeated iterations, these algorithms mimic the process of natural selection and gradually improve the solutions to optimize the given problem.
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