3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.AI2026
PINNMorph: Evolving Online Adaptation Policies for Physics-Informed Neural Networks
Xu Yang, Mingyang Yu, Jun Zhang +2
Physics-informed neural networks (PINNs) provide a learning-based framework for solving partial differential equations (PDEs), yet their training behavior can change substantially…
cs.LG2025★ 3 cited
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao +1
In recent years, there has been a growing interest in data-driven evolutionary algorithms (DDEAs) employing surrogate models to approximate the objective functions with limited dat…