A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent ...
Global optimization problems often involve nonlinear, multimodal, non-separable, and constrained search landscapes that challenge population-based metaheuristics ...
Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory ...
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