Genetic Algorithms for Municipal Solid Waste Collection and Routing Optimization

摘要: In the present paper, Genetic Algorithm (GA) is used for identification of optimal routes in case Municipal Solid Waste (MSW) collection. The a route MSW collection trucks critical since it has been estimated that, total amount money spent collection, transportation, and disposal solid waste, approximately 60–80% on phase. Therefore, small percentage improvement operation can result to significant saving overall cost. proposed management system based geo-referenced spatial database supported by geographic information (GIS). GIS takes into account all required parameters waste These include static dynamic data, such as positions bins, road network its related traffic, well population density area under study. addition, schedules, truck capacities their characteristics are also taken consideration. Spatiotemporal statistical analysis estimate inter-relations between factors, like traffic changes residential commercial areas. user, system, able define or modify factors creation alternative initial scenarios. objective identify most cost-effective scenario running cost simulate application.