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
- Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester. ISBN: 9780471873396
- Tesfatsion, L., Judd, K. L. (Eds.) (2006). Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. North-Holland, Amsterdam. ISBN: 9780444512536
Sådan citerer du denne side
ScholarGate. (2026, June 3). Multi-Objective Agent-Based Modeling. ScholarGate. https://scholargate.app/da/simulation/multi-objective-agent-based-modeling
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Agent-Based Modeling (ABM)Simulering↔ compare
- Multi-objektiv genetisk algoritme (MOGA)Simulering↔ compare
- Multi-Objective OptimizationSimulering↔ compare
- Multi-Objective System DynamicsSimulering↔ compare
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