Advanced OR and AI Methods in Transportation ANALYZING A VEHICLE ROUTING PROBLEM WITH STOCHASTIC DEMANDS USING ANT COLONY OPTIMIZATION
نویسنده
چکیده
In this paper the classical Vehicle Routing Problem (VRP) is extended to cover the more realistic case of uncertainty about customer demands. This case is modelled as a VRP with stochastic demands and tackled with a heuristic solution approach based on Ant Colony Optimization (ACO). The main issues studied in this paper are the modelling of the uncertainty (i) in terms of its influence on the performance of the algorithm and (ii) in terms of the structure and quality of the solutions with respect to different risk measures.
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