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Compară metode

Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Programarea cu variabile întregi×Programare Dinamică×Programarea obiectivelor×
DomeniuOptimizareOptimizareLuarea deciziilor
FamilieProcess / pipelineProcess / pipelineMCDM
Anul apariției195819571955
Autorul originalRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)Richard BellmanCharnes, A., Cooper, W. W.
TipMathematical optimisation — exact combinatorial methodExact combinatorial optimization via recursive decompositionMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Sursa seminalăWolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
Denumiri alternativeIP, MIP, mixed-integer programming, mixed-integer linear programmingDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
Înrudite438
RezumatInteger programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.Dynamic 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.GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompară metode: Integer Programming · Dynamic Programming · GOAL-PROGRAMMING. Preluat la 2026-06-15 de pe https://scholargate.app/ro/compare