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Δυναμικός Προγραμματισμός Σεναρίων Πολιτικής×Πολυκριτήρια Δυναμική Προγραμματισμός×
ΠεδίοΠροσομοίωσηΠροσομοίωση
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης19571957-1975
ΔημιουργόςBellman, Richard E.Extension of Bellman (1957); formalized by multiple authors from 1970s onward
ΤύποςSequential optimization with scenario branchingExact optimization — recursive multi-objective decomposition
Θεμελιώδης πηγήBellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516
Εναλλακτικές ονομασίεςPSDP, Policy-Scenario DP, Scenario-Based Dynamic Programming, Policy DPMODP, Multi-criteria dynamic programming, Vector dynamic programming, Pareto dynamic programming
Συναφείς55
ΣύνοψηPolicy Scenario Dynamic Programming (PSDP) applies Bellman's recursive optimization framework to a set of pre-specified policy scenarios, enabling decision-makers to compare staged, sequential decisions under distinct future conditions. It decomposes a complex, multi-period policy choice into tractable sub-problems solved backward through time, yielding optimal action sequences for each scenario and a structured basis for scenario comparison.Multi-Objective Dynamic Programming (MODP) extends Bellman's classical dynamic programming to settings where a decision-maker must optimize several competing objectives simultaneously across a sequence of stages. Rather than a single optimal policy, it produces a Pareto-optimal set of policies — each representing a distinct trade-off profile — by propagating vector-valued value functions backward through the state space.
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  1. v1
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  3. PUBLISHED

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ScholarGateΣύγκριση μεθόδων: Policy Scenario Dynamic Programming · Multi-objective dynamic programming. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare