Programming for Mathematical Applications
A genetic algorithm is a search heuristic inspired by the process of natural selection that is used to solve optimization and search problems. It mimics the process of evolution, where potential solutions evolve over generations through selection, crossover, and mutation to find optimal or near-optimal solutions to complex problems.
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