An Adaptive Neuro-Metaheuristic Framework Integrating Transformer-Based Surrogate Modeling with Differential Evolution for High-Dimensional Black-Box Optimization
High-dimensional black-box optimization is a highly challenging problem, especially when each function evaluation is expensive, the objective is non-differentiable, and we know almost nothing about its structure. In this case, traditional gradient-based methods are not available, and most existing metaheuristics either...