Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...
A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent ...
Researchers in India have developed ASHA, a federated learning algorithm that weights each client's updates by a dynamic ...
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