Optimizing waste collection time in Zabol city in reducing environmental hazards by relying on colonial competition algorithm and GIS

Over the past decade, municipal waste production has increased dramatically due to increasing global population and the rate urbanization. Therefore, one of the important issues that has been used in recent years and has been discussed to increase the efficiency and productivity of transportation systems is the discussion of routing of waste transportation machines. In addition, poor management and inappropriate collection and storage since it creates environmental problems in the urban ecosystem is considered a global challenge, as the presentation of these urban services has been significantly neglected due to lack of sufficient data and information. The aim of this study was to provide an appropriate solution for proper collection of waste in 40 neighborhoods of Zabul city to minimize the time of mission and increase the satisfaction of citizens of such urban services. The research method is descriptive and applied studies based on attribution algenomy and field studies. In order to conduct this study, metaheuristic algorithm of colonial competition and Arc GIS software was used and all the related programming was done in MATLAB software environment. The results indicated that colonial competitive algorithm with 20 replications at 15 replications with a time equal to 4.11 seconds with 71% confidence coefficient was obtained in the best possible state and showed the order of the best intersections. Confidence coefficient was obtained in the best possible state and showed the order of the best intersections. Confidence coefficient was obtained in the best possible state and showed the order of the best intersections.