ANT colony route optimization for municipal services

Karadimas, NV; Kouzas, G; Anagnostopoulos, I; Loumos, V; Kayafas, E

dc.contributor.author	Karadimas, NV	en
dc.contributor.author	Kouzas, G	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:50:00Z
dc.date.available	2014-03-01T02:50:00Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34860
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84856545157&partnerID=40&md5=9a159b120e56fa79c99c3204995b541f	en
dc.subject	Ant Colony Optimization (ACO) Algorithm	en
dc.subject	Cost optimization	en
dc.subject	Quality of service	en
dc.subject	Simulation	en
dc.subject	Solid waste	en
dc.subject.other	Ant colonies	en
dc.subject.other	Ant Colony Optimization algorithms	en
dc.subject.other	Cost optimization	en
dc.subject.other	Dynamic factors	en
dc.subject.other	Equipment costs	en
dc.subject.other	Municipal services	en
dc.subject.other	Network traffic	en
dc.subject.other	Optimal solutions	en
dc.subject.other	Optimized solutions	en
dc.subject.other	Population densities	en
dc.subject.other	Road network	en
dc.subject.other	Route optimization	en
dc.subject.other	Simulation	en
dc.subject.other	Social implication	en
dc.subject.other	Solid waste collection	en
dc.subject.other	Solid waste management systems	en
dc.subject.other	Spatial database	en
dc.subject.other	Spatio-temporal	en
dc.subject.other	Static and dynamic	en
dc.subject.other	Technical characteristics	en
dc.subject.other	Time schedules	en
dc.subject.other	Algorithms	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Computer simulation	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Information management	en
dc.subject.other	Motor transportation	en
dc.subject.other	Optimization	en
dc.subject.other	Population statistics	en
dc.subject.other	Public utilities	en
dc.subject.other	Quality of service	en
dc.subject.other	Solid wastes	en
dc.subject.other	Waste management	en
dc.subject.other	Municipal solid waste	en
dc.title	ANT colony route optimization for municipal services	en
heal.type	conferenceItem	en
heal.publicationDate	2005	en
heal.abstract	In the present paper the Ant Colony Optimization (ACO) Algorithm is introduced for best routing identification applied in urban solid waste collection. The proposed solid waste management system is based on a geo-referenced Spatial Database supported by a Geographic Information System (GIS). The GIS takes account of all the required parameters for solid waste collection. These parameters involve static and dynamic data, such as positions of trashcans, road network, related traffic and population density, In addition, time schedule of trash-collection workers and track capacities and technical characteristics are considered. ACO spatio-temporal statistical analysis model is used to estimate interrelations between dynamic factors, like network traffic changes in residential and commercial areas in a 24 hour schedule, and to produce optimized solutions. The user, in the proposed system, is able to define or modify all required dynamic factors for the creation of an initial scenario. By modifying these particular parameters, alternative scenarios can be generated leading to the several solutions. The Optimal solution is identified by a cost function that takes into account various parameters, for instance labor and equipment costs as well as social implications. © ECMS, 2005.	en
heal.journalName	Simulation in Wider Europe - 19th European Conference on Modelling and Simulation, ECMS 2005	en
dc.identifier.spage	374	en
dc.identifier.epage	380	en