Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Problém směrování vozidel (VRP)×Celočíselné programování×
OborOptimalizaceOptimalizace
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19591958
TvůrceGeorge Dantzig & John RamserRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
TypCombinatorial optimization problemMathematical optimisation — exact combinatorial method
Původní zdrojDantzig, G. B., & Ramser, J. H. (1959). The truck dispatching problem. Management Science, 6(1), 80–91. DOI ↗Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
Další názvyCapacitated Vehicle Routing Problem, Fleet Routing Problem, Multi-Vehicle Routing Problem, Araç Rotalama ProblemiIP, MIP, mixed-integer programming, mixed-integer linear programming
Příbuzné34
ShrnutíThe Vehicle Routing Problem (VRP) seeks the minimum-cost set of routes for a fleet of vehicles to serve a collection of geographically dispersed customers, each with a known demand, departing from and returning to a central depot. Originally formulated as the Truck Dispatching Problem by Dantzig and Ramser in 1959, VRP is a foundational model in logistics, supply chain management, and operations research, applicable whenever goods or services must be delivered efficiently across multiple stops.Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.
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ScholarGatePorovnat metody: Vehicle Routing Problem · Integer Programming. Získáno 2026-06-15 z https://scholargate.app/cs/compare