Solid waste collection optimization considering energy utilization for large city area

Waste management is a significant issue in the world, which is of vital importance to global environmental. Three strategies for truck scheduling and path optimization of waste collection are provided. For an improvement waste processing strategy which not only cares about the weight and volume, this paper presented a model for optimizing municipal solid waste management considering energy utilization. A genetic algorithm and simulate algorithm integrated method was adopted to optimize the collection route. To better help administration department manage its solid waste, a GIS based decision support system was developed. The proposed approach is verified through a case study of Pudong. The results show the method is effective for solid waste collection and transport from the energy utilization improvement point of view.