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Multi-Objective Agent-Based Modeling

Multi-Objective Agent-Based Modeling (MO-ABM) kombinerer agent-baseret simulering med multi-objektiv optimering for samtidigt at optimere flere modstridende præstationskriterier på tværs af komplekse adaptive systemer. Autonome agenter interagerer i henhold til adfærdsmæssige regler, mens en optimeringsalgoritme søger efter parameterkonfigurationer, der opnår Pareto-optimale kompromiser mellem konkurrerende systemmål.

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Kilder

  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

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ScholarGate. (2026, June 3). Multi-Objective Agent-Based Modeling. ScholarGate. https://scholargate.app/da/simulation/multi-objective-agent-based-modeling

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ScholarGateMulti-objective agent-based modeling (Multi-Objective Agent-Based Modeling). Hentet 2026-06-15 fra https://scholargate.app/da/simulation/multi-objective-agent-based-modeling · Datasæt: https://doi.org/10.5281/zenodo.20539026