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Optimization of Agent-Based Models: Scaling Methods and Heuristic Algorithms

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Abstract

Questions concerning how one can influence an agent-based model in order to best achieve some specific goal are optimization problems. In many models, the number of possible control inputs is too large to be enumerated by computers; hence methods must be developed in order to find solutions that do not require a search of the entire solution space. Model reduction techniques are introduced and a statistical measure for model similarity is proposed. Heuristic methods can be effective in solving multi-objective optimization problems. A framework for model reduction and heuristic optimization is applied to two representative models, indicating its applicability to a wide range of agent-based models. Results from data analysis, model reduction, and algorithm performance are assessed.

Suggested Citation

  • Matthew Oremland & Reinhard Laubenbacher, 2014. "Optimization of Agent-Based Models: Scaling Methods and Heuristic Algorithms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(2), pages 1-6.
    • Handle: RePEc:jas:jasssj:2013-88-2
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    Cited by:

    1. Amir Ali Safaei Pirooz & Mohammad J. Sanjari & Young-Jin Kim & Stuart Moore & Richard Turner & Wayne W. Weaver & Dipti Srinivasan & Josep M. Guerrero & Mohammad Shahidehpour, 2023. "Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation," Energies, MDPI, vol. 16(8), pages 1-16, April.
    2. Wozniak, Marcin, 2016. "Job placement agencies in an artificial labor market," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-54.
    3. Milad Akbari & Morris Brenna & Michela Longo, 2018. "Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    4. Alvarez, Emiliano & Brida, Juan Gabriel, 2019. "What about the others? Consensus and equilibria in the presence of self-interest and conformity in social groups," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 285-298.
    5. Alexander Michels & Jeon-Young Kang & Shaowen Wang, 2022. "Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(2), pages 1-8.

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