A multi-stage pipeline uses model-based screening followed by ML surrogates to explore high-dimensional stochastic agent-based models and identify unstable regions.
Structural and Multidisciplinary Optimization (2026) Automated Exploration of Parameters for Agent-Based Simulation 13
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From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models
A multi-stage pipeline uses model-based screening followed by ML surrogates to explore high-dimensional stochastic agent-based models and identify unstable regions.