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.