EMG-Hybrid: A Dual-Engine Elite Memory--Guided Adaptive Optimization Framework for High-Dimensional Feature Selection

Feature selection in ultra-high-dimensional, noisy datasets remains a critical challenge due to exponential search space growth, where conventional binary metaheuristics often suffer from premature convergence. To address this, EMG-Hybrid is introduced as a novel three-level hierarchical optimization architecture designed around decoupled operational planes, feedback-driven scheduling, and…

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