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确定性动态规划×多目标动态规划×
领域仿真仿真
方法族Process / pipelineProcess / pipeline
起源年份19571957-1975
提出者Richard E. BellmanExtension of Bellman (1957); formalized by multiple authors from 1970s onward
类型Exact sequential optimization algorithmExact optimization — recursive multi-objective decomposition
开创性文献Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516
别名DDP, Deterministic DP, Classical Dynamic Programming, Bellman Dynamic ProgrammingMODP, Multi-criteria dynamic programming, Vector dynamic programming, Pareto dynamic programming
相关65
摘要Deterministic 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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  2. 2 来源
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Deterministic Dynamic Programming · Multi-objective dynamic programming. 于 2026-06-15 检索自 https://scholargate.app/zh/compare