Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
Abstract: This paper aims to improve optimization efficiency by investigating the hybridization of Differential Evolution (DE) variants using an Island Model framework. DE, a population-based ...
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