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Heltallsprogrammering×Least-Cost Path / Cost-Distance Analysis×
FagfeltOptimeringRomlig analyse
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19581994
OpphavspersonRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)Edsger Dijkstra (shortest path); GIS cost-surface adaptation
TypeMathematical optimisation — exact combinatorial methodRaster cost-surface routing
Opprinnelig kildeWolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
AliasIP, MIP, mixed-integer programming, mixed-integer linear programmingcost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Relaterte43
SammendragInteger 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.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.
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ScholarGateSammenlign metoder: Integer Programming · Least-Cost Path. Hentet 2026-06-16 fra https://scholargate.app/no/compare