Optimize the solid waste collection route in construction using the POA algorithm

Abstract

This study provides an in-depth exploration of the urban municipal solid waste (MSW) collection issue in the urban context, where there is a continuous rise in individual waste production levels and vulnerability to climate change, particularly in developing countries. The research focuses on a specialized vehicle routing model to optimize the solid waste transportation system within the city, aiding civil engineers and urban planners in strategically locating waste collection station positions for efficient waste collection routes. To enhance the model’s efficiency, a novel combined method is proposed, integrating with the Pelican Optimization Algorithm (POA). Experimental evaluations, conducted using real-world data, unequivocally demonstrate that the proposed combined method outperforms alternative approaches, including the current manual MSW collection process in the city. This research makes a significant contribution to the fields of waste management and urban sustainability, with the ultimate goal of mitigating the social, economic, and environmental consequences associated with urban solid waste collection.