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cs.NE2026
Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design
Xu Yang, Mingyang Yu, Jing Xu +1
Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enfor…
cs.NE2026
A Quantum-Driven Evolutionary Framework for Solving High-Dimensional Sharpe Ratio Portfolio Optimization
Mingyang Yu, Jiaqi Zhang, Haorui Yang +3
High-dimensional portfolio optimization faces significant computational challenges under complex constraints, with traditional optimization methods struggling to balance convergenc…