Metaheuristic optimisation methods constitute a class of algorithmic strategies inspired by natural processes, designed to tackle complex and often non-convex optimisation problems. When embedded ...
Metaheuristic optimisation methods have emerged as powerful tools to complement gradient-based training in deep learning. By emulating natural or social phenomena, techniques such as particle swarm ...
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