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Monitavoitteinen kokonaislukuoptimointi×Monitavoitteinen tavoiteohjelmointi×
TieteenalaSimulointiSimulointi
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi1980s–2000s1961
KehittäjäEhrgott, M.; Mavrotas, G. and others in multi-criteria optimizationCharnes, A. and Cooper, W. W.
TyyppiMathematical optimizationMathematical programming / multi-criteria optimization
AlkuperäislähdeEhrgott, M. (2005). Multicriteria Optimization (2nd ed.). Springer, Berlin. ISBN: 9783540213987Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258
RinnakkaisnimetMO-MIP, Multi-criteria MIP, MOMIP, Multi-objective MILPMOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming
Liittyvät54
TiivistelmäMulti-Objective Mixed-Integer Programming (MO-MIP) is an optimization framework that simultaneously optimizes two or more conflicting objective functions subject to linear or nonlinear constraints, where some decision variables are restricted to integer values and others are continuous. It is widely applied in engineering design, supply chain planning, resource allocation, and scheduling problems that require discrete choices alongside continuous quantities.Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once.
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ScholarGateVertaile menetelmiä: Multi-objective mixed-integer programming · Multi-objective goal programming. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare