Due to the inherent advantages offered by combining multiple techniques, there has been a notable trend in recent years towards designing optimizers through the hybridization of two or more search operators from different algorithms.
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Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model training.
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