Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...
The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...
Abstract: To address engineering challenges such as multi-constraint conflicts, nonlinear coupling, and high material costs, this paper proposes a Multi-Strategy Enhanced Slime Mould Algorithm (MESMA) ...
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