Abstract
The optimization of large-scale issues is fraught with challenges. Multi-modality, dimensionality, and differentiability are the main challenges. Traditional methods often fail to tackle such large-scale issues, particularly when the goal functions are nonlinear. The primary issue is that conventional methods cannot handle non-differentiable functions since most traditional
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