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Pemrograman Dinamis Deterministik×Pemrograman Dinamis Multi-Objektif×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19571957-1975
PencetusRichard E. BellmanExtension of Bellman (1957); formalized by multiple authors from 1970s onward
TipeExact sequential optimization algorithmExact optimization — recursive multi-objective decomposition
Sumber perintisBellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516
AliasDDP, Deterministic DP, Classical Dynamic Programming, Bellman Dynamic ProgrammingMODP, Multi-criteria dynamic programming, Vector dynamic programming, Pareto dynamic programming
Terkait65
RingkasanDeterministic Dynamic Programming (DDP) is a mathematical optimization technique that decomposes a multi-stage decision problem into a sequence of simpler subproblems, solving them exactly when all system parameters — transition functions, costs, and rewards — are known with certainty. It guarantees a globally optimal policy via Bellman's principle of optimality.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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ScholarGateBandingkan metode: Deterministic Dynamic Programming · Multi-objective dynamic programming. Diakses 2026-06-15 dari https://scholargate.app/id/compare