Abstract:
In most previous models of the location of solid waste transfer stations, only the  minimum cost was considered without taking into account the adverse effects on the surrounding  environment and residents. With regard to the characteristics of the collection and transportation system of urban life waste, a multiobjective model of site selection of solid waste transfer stations was establish, based on a reverse logistics network .It considered the minimum total cost, the minimum total distance between Pitch corresponding and the garbage collection transfer station, and maximized minimum distance between residential areas and Waste disposal centers. A multiobjective evolutionary algorithm, based on, was proposed to solve the problem. The optimal solutions to the model were derived by selecting the appropriate encoding method and genetic operators. A practical example shows the validity of the model and algorithm, and that this model can provide several efficient solutions in one generation, giving more comprehensive support to decisionmakers.

Key words: urban solid waste; transfer station; location selection; reverse logistics; evolutionary algorithm