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Which of the following is the common evolutionary algorithm of neural networks?
Correct Answer: D
Evolutionary algorithms are optimization techniques inspired by natural selection. They are often applied in neural network optimization for evolving architectures, weights, or hyperparameters. Genetic Algorithm (Option A): Uses selection, crossover, and mutation to evolve neural network parameters. Genetic Programming (Option B): Evolves computer programs or expressions; can be applied to evolve neural network structures. Evolution Strategy (Option C): Focuses on optimization using mutation and adaptation of parameters. Since all are used as evolutionary approaches in neural networks, the correct answer is Option D (All of the above). Reference: DASCA Data Scientist Knowledge Framework (DSKF) - Neural Networks: Evolutionary Algorithms in Machine Learning.
