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Artificial intelligence does not always mean deep learning. In this October 2023 post, the blog returns to evolutionary algorithms. The author implements a genetic algorithm from scratch in Python to solve a real‑world problem: optimizing the placement of sensors in a smart grid. The step‑by‑step explanation covers fitness functions, crossover, mutation, and convergence criteria. It is an excellent resource for anyone learning optimization techniques.
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