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Policy Scenario Integer Programming — Diskret Optimering På Tværs af Politikalternativer

Policy Scenario Integer Programming (PSIP) løser en heltalsoptimeringsmodel — hvor nogle eller alle beslutningsvariable skal have heltalsværdier — separat under hvert af flere distinkte politikscenarier, sammenligner derefter objektivværdier, feasibility og løsningsstrukturer for at identificere, hvilket politisk miljø der fører til det bedste diskrete allokerings- eller tildelingsresultat.

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Kilder

  1. Birge, J. R., & Louveaux, F. (2011). Introduction to Stochastic Programming (2nd ed.). Springer. ISBN: 9781461402367
  2. Williams, H. P. (2013). Model Building in Mathematical Programming (5th ed.). Wiley. ISBN: 9781118443330

Sådan citerer du denne side

ScholarGate. (2026, June 3). Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives. ScholarGate. https://scholargate.app/da/simulation/policy-scenario-integer-programming

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ScholarGatePolicy Scenario Integer Programming (Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives). Hentet 2026-06-15 fra https://scholargate.app/da/simulation/policy-scenario-integer-programming · Datasæt: https://doi.org/10.5281/zenodo.20539026