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In real life optimization problems, it is very important to have high quality solutions (optimal). But when uncertainty becomes part of the optimization problem, solutions should be optimal and robust to the uncertain environmental changes. This paper focuses on finding robust optimal solution for the vehicle routing problem with stochastic demands VRPSD. In this case when the uncertainty of the customers...
In this paper, we propose a mathematical model for a dynamic vehicle routing problem (VRP) to minimize unmet demand with stochastic demands and real-time vehicle control in large-scale emergencies. In this context, we consider that one depot may not supply all demand nodes with sufficient medicine that they need in limited time. The problem involves multiple vehicles with various capacities and instantaneous...
An improved vehicle coordination strategy for vehicle routing problem (VRP) based on SWEEP was proposed in order to solving single-depot VRP with stochastic demands. In this strategy, the vehicle routing that customers were not served by basic vehicle (BV) is re-optimized using SWEEP rules, then these customers are severed by SWEEP vehicle (SV) in order that the total serve time will be less and the...
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