Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization
PosEDO is proposed, which augments fitness-based EDO with an observation-conditioned parameter-space signal from parameter-trajectory pairs generated during evolutionary evaluation, using posterior shifts for change detection and posterior samples for population adaptation.
Peng Yang, Zhen-Hua Yang, Boquan Jiang et al.
· 1 citation