How to save the cost of collection and transportation is one of the biggest problems in the Urban Garbage Logistics System. In this paper, a model has been set up to minimize the system operation cost, and a genetic algorithm was developed to work this model out. Experimental studies show that the GA generates approximate optimal solutions very quickly and good-quality solutions can be obtained on an acceptable computational cost.
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