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Pemrograman Integer Campuran×Pemrograman Linear×
BidangSimulasiOptimasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1958–19601947
PencetusRalph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)George B. Dantzig
TipeMathematical optimizationMathematical programming / continuous optimization
Sumber perintisNemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136
AliasMIP, Mixed-Integer Linear Programming, MILP, Integer ProgrammingLP, linear optimization, Doğrusal Programlama (LP)
Terkait64
RingkasanMixed-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.Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.
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ScholarGateBandingkan metode: Mixed-Integer Programming · Linear Programming. Diakses 2026-06-15 dari https://scholargate.app/id/compare