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#Evolutionary Computation

genetic algorithm

A genetic algorithm is a probabilistic patchwork festival where a random population undergoes selection and crossover to entrust the optimal solution to sheer ‘‘chance’’. True refinement depends on the luck of the chosen few, and under the guise of problem-solving, bugs often evolve instead. While worshipping the mysterious fitness function, practitioners bitterly acknowledge there is no guarantee any solution survives to the final generation.

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