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Linear Programming Deterministik×Pengaturcaraan Linear Multi-Objektif (MOLP)×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19471955–1986
PengasasGeorge B. DantzigSteuer, R. E.; Charnes, A.; Cooper, W. W.
JenisDeterministic mathematical optimizationMathematical optimization / vector optimization
Sumber perintisDantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton, NJ. ISBN: 9780691059136Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468
AliasClassical LP, Deterministic LP, DLP, Linear OptimizationMOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector Optimization
Berkaitan53
RingkasanDeterministic Linear Programming (DLP) is the classical form of linear programming in which all objective function coefficients, constraint coefficients, and right-hand-side values are known with certainty. It finds the optimal allocation of resources to maximize or minimize a linear objective subject to linear constraints, providing an exact, reproducible solution under fixed, certain data.Multi-Objective Linear Programming (MOLP) extends classical linear programming to handle several conflicting linear objective functions simultaneously over a feasible region defined by linear constraints. Instead of a single optimal solution, MOLP produces a Pareto-efficient frontier from which a decision-maker selects a preferred trade-off. It is foundational to operations research and management science for resource allocation, planning, and design problems with competing goals.
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ScholarGateBandingkan kaedah: Deterministic Linear Programming · Multi-objective linear programming. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare