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Programim i përzier robust me numra të plotë×Programim i Plotë-Numërt (MIP)×
FushaSimulimiSimulimi
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1998–20041958–1960
KrijuesiBen-Tal & Nemirovski; Bertsimas & SimRalph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)
LlojiDeterministic robust reformulation of MIP under uncertaintyMathematical optimization
Burimi themeluesBertsimas, D., Sim, M. (2004). The price of robustness. Operations Research, 52(1), 35–53. DOI ↗Nemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432
Emërtime të tjeraRMIP, Robust MIP, Uncertain MIP, Robust MILP/MIQPMIP, Mixed-Integer Linear Programming, MILP, Integer Programming
Të lidhura46
PërmbledhjaRobust Mixed-Integer Programming (RMIP) combines mixed-integer programming with robust optimization to find solutions that remain feasible and near-optimal despite uncertain parameters. Instead of assuming fixed data, it protects decisions against adversarial or worst-case realizations of uncertain inputs, using an explicit uncertainty set to control the degree of conservatism while preserving the combinatorial structure of integer decisions.Mixed-Integer Programming (MIP) is a mathematical optimization framework in which some decision variables must take integer values while others may be continuous. It generalizes linear programming and is widely used in operations research, logistics, scheduling, resource allocation, and engineering design, where indivisibility constraints — such as yes/no decisions or whole-unit quantities — arise naturally.
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ScholarGateKrahasoni metodat: Robust Mixed-Integer Programming · Mixed-Integer Programming. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare