In modern machine learning, optimization algorithms are crucial; they steer the training process by skillfully navigating through complex, high-dimensional loss landscapes. Among these, stochastic ...

Long-Term Time Series Forecasting requires robust learning under nonstationarity, noisy gradients, and delayed adaptation caused by distribution shifts. Evolutionary-Guided Module Fusion with Gradient ...