Genetic Algorithms

Genetic Algorithms are a type of optimization algorithm inspired by the process of natural selection and genetics. They involve randomly generating a population of potential solutions to a problem, evaluating their fitness, and then using genetic operators such as mutation and crossover to evolve and improve the solutions over successive generations. This iterative process mimics the principles of evolution, gradually converging towards an optimal or near-optimal solution to the problem at hand.

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