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Process / pipelineSimulation / optimization

Multi-objektiv køsimulering — Afbalancering af konkurrerende servicemålinger i køsystemer

Multi-objektiv køsimulering kombinerer diskret-event kømodeller med multi-objektiv optimering for samtidigt at evaluere og optimere modstridende præstationsmålinger — såsom gennemsnitlig ventetid, serverudnyttelse, gennemløb og serviceomkostninger — på tværs af et simuleret køsystem. Den producerer en Pareto-front af ikke-dominerede løsninger snarere end et enkelt optimalt punkt, hvilket gør det muligt for beslutningstagere eksplicit at forstå afvejninger.

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Kilder

  1. Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Pearson Prentice Hall. ISBN: 9780136062127
  2. Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons. ISBN: 9780471873396

Sådan citerer du denne side

ScholarGate. (2026, June 3). Multi-objective Queueing Simulation — Simultaneous optimization of competing performance metrics in simulated queuing systems. ScholarGate. https://scholargate.app/da/simulation/multi-objective-queueing-simulation

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ScholarGateMulti-objective Queueing Simulation (Multi-objective Queueing Simulation — Simultaneous optimization of competing performance metrics in simulated queuing systems). Hentet 2026-06-15 fra https://scholargate.app/da/simulation/multi-objective-queueing-simulation · Datasæt: https://doi.org/10.5281/zenodo.20539026