Evolutionary optimization algorithms constitute a class of derivative-free techniques inspired by principles of natural selection and genetics, tailored to optimise continuous real-valued functions.
Neuro-fuzzy systems represent a class of hybrid approaches that integrate the adaptive learning capabilities of artificial neural networks with the transparent reasoning of fuzzy logic. By embedding ...
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