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Pemrograman Dinamis×Pemrograman Kendala×
BidangOptimasiOptimasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19572006
PencetusRichard BellmanRossi, van Beek & Walsh
TipeExact combinatorial optimization via recursive decompositionDeclarative combinatorial optimization
Sumber perintisBellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6Rossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. ISBN: 978-0-444-52726-4
AliasDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik ProgramlamaConstraint Satisfaction Programming, Constraint-Based Optimization, Kısıt Programlama, CSP Optimization
Terkait33
RingkasanDynamic Programming (DP) is an exact optimization technique introduced by Richard Bellman in 1957 for solving multi-stage decision problems. It decomposes a complex problem into simpler, overlapping subproblems, solves each subproblem once, and stores the results to avoid redundant computation. Grounded in the Principle of Optimality, DP guarantees globally optimal solutions whenever the problem exhibits overlapping subproblems and optimal substructure.Constraint Programming (CP) is a declarative optimization paradigm in which a problem is formulated as a set of variables, finite domains, and constraints, and a solver systematically searches for assignments that satisfy all constraints. Formalized comprehensively by Rossi, van Beek, and Walsh in their 2006 Handbook of Constraint Programming, CP unifies propagation-based pruning with intelligent backtracking search to tackle combinatorial problems across scheduling, planning, and configuration domains.
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ScholarGateBandingkan metode: Dynamic Programming · Constraint Programming. Diakses 2026-06-15 dari https://scholargate.app/id/compare