Programming for Mathematical Applications
Genetic algorithms are a type of optimization algorithm inspired by the principles of natural selection and genetics. They use mechanisms such as selection, crossover, and mutation to evolve solutions to problems over successive generations. This approach is particularly useful in solving complex problems in various fields, including scientific computing, where traditional methods may struggle to find optimal solutions.
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