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Mješovito cjelobrojno programiranje×Linearno programiranje×
OblastSimulacijaOptimizacija
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka1958–19601947
TvoracRalph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)George B. Dantzig
TipMathematical optimizationMathematical programming / continuous optimization
Temeljni izvorNemhauser, 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
Drugi naziviMIP, Mixed-Integer Linear Programming, MILP, Integer ProgrammingLP, linear optimization, Doğrusal Programlama (LP)
Srodne64
SažetakMixed-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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ScholarGateUporedite metode: Mixed-Integer Programming · Linear Programming. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare