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Evolutionary algorithms mimic the process of natural selection to optimize solutions from "summary" of Artificial Intelligence by Melanie Mitchell
Evolutionary algorithms are a class of optimization algorithms that draw inspiration from the process of natural selection. The main idea behind these algorithms is to simulate the process of evolution in order to find the best solution to a given problem. Just as in natural selection, where individuals with favorable traits are more likely to survive and reproduce, in evolutionary algorithms, solutions that perform well on a given task are more likely to be selected for further exploration. The process starts with generating a population of candidate solutions to the problem at hand. These solutions are evaluated based on a fitness function, which quantifies how well each solution performs on the task. The solutions with higher fitness values are then selected to "reproduce" and create offspring solutions. This reproduction process involves recombining and mutating the selected solutions to gener...
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