PHD Student,
My main research topic is the application of synthetic population generation techniques to agent-based simulations. In particular, an endogenous calibration that does not require extensive agent-level or population distributional information, but uncovers this by observing how different potential populations behave in the simulation and comparing those outcomes to real-world outcomes.
PGR Project: Endogenous Generation of Synthetic Populations in Agent-Based Simulations
This methodology will calibrate algorithms to generate agents, who populate simulations, by matching simulation outcomes to real-world outcomes. This allows populations to be generated without having detailed prior knowledge of their characteristic distributions.
Keywords: Agent-based, calibration, simulation, synthetic population
Evaluating metamodel and optimizer pairs for solving multiple objective problems.
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