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Complexity of the AGV shortest path and single-loop guide path layout problems
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1997
Year
Mathematical ProgrammingEngineeringComputational ComplexityGuide Path LayoutAgv Shortest PathDiscrete OptimizationGuided Vehicle SystemsTrajectory PlanningAutomated Guided VehiclesPath ProblemsSystems EngineeringAutomated Guided VehicleDiscrete MathematicsCombinatorial OptimizationComputational GeometryPath PlanningComputer EngineeringComputer ScienceVariable Neighborhood SearchGraph TheoryShortest PathRoute PlanningAutomationAlgorithmic EfficiencyVehicle Routing Problem
The guide path layout is one of the most important variables in the design of automated guided vehicle systems (AGVS). Many alternative guide path configurations have been proposed in previous research. Two of the simplest are the shortest path and shortest single-loop configurations. However, the optimal solutions to these two problems have not been easy to obtain. In this paper, we show why by proving the NP-completeness of these problems using graph theoretic methods.