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Multi-Objective Agent-Based Modeling

Multi-Objective Agent-Based Modeling (MO-ABM) couples agent-based simulation with multi-objective optimization to simultaneously optimize several conflicting performance criteria across complex adaptive systems. Autonomous agents interact according to behavioral rules while an optimizer searches for parameter configurations that achieve Pareto-optimal trade-offs among competing system-level goals.

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Sources

  1. Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester. ISBN: 9780471873396
  2. Tesfatsion, L., Judd, K. L. (Eds.) (2006). Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. North-Holland, Amsterdam. ISBN: 9780444512536

Related methods

Agent-Based ModelingMulti-objective genetic algorithmMulti-Objective OptimizationMulti-objective system dynamics

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ScholarGate — Multi-objective agent-based modeling (Multi-Objective Agent-Based Modeling). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/multi-objective-agent-based-modeling