2016
DOI: 10.1080/14498596.2016.1256237
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Integration of geographical information systems, meta-heuristics and optimization models for the employee transportation problem

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Cited by 1 publication
(3 citation statements)
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“…Research by [36]; did the analysis of city logistic centre in Istanbul with the integration of GIS and Binary Particle Swarm Optimization (BPSO) algorithm. Another literature from [7]; proposed the integration of GIS, metaheuristic algorithm, and optimation model to solve employee transporation problem to fix the route planning and vehicle assignment in order to do cost minimazion. Research by [37]; defined the VRP as spatial problem and proposed that the decision making of this scoop needs the integration of GIS and optimation method (GIS-O) with multi-step approach to solve Distance Capacitated Vehicle Routing Problem (DCVRP).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Research by [36]; did the analysis of city logistic centre in Istanbul with the integration of GIS and Binary Particle Swarm Optimization (BPSO) algorithm. Another literature from [7]; proposed the integration of GIS, metaheuristic algorithm, and optimation model to solve employee transporation problem to fix the route planning and vehicle assignment in order to do cost minimazion. Research by [37]; defined the VRP as spatial problem and proposed that the decision making of this scoop needs the integration of GIS and optimation method (GIS-O) with multi-step approach to solve Distance Capacitated Vehicle Routing Problem (DCVRP).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Constraint (6) arranges each route is fulfiled by maximum one fleet. Constraint (7) ensure that the same fleet in and out an assigned customer. Constraint ( 8) is the limit of the capacity on each fleet.…”
Section: Proposed Mathematical Modelmentioning
confidence: 99%
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