Ken Ho

Contact

• workRoom B38 Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• psxkh1@nottingham.ac.uk

Biography

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.

Research Summary

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

Recent Publications

• HO, KEN JOM, ÖZCAN, ENDER and SIEBERS, PEER-OLAF, 2024. Efficient Multi-Objective Simulation Metamodeling for Researchers Algorithms. 17(1), 41

• View all publications

Past Research

Evaluating metamodel and optimizer pairs for solving multiple objective problems.

• HO, KEN JOM, ÖZCAN, ENDER and SIEBERS, PEER-OLAF, 2024. Efficient Multi-Objective Simulation Metamodeling for Researchers Algorithms. 17(1), 41