Ant Colony System vs ArcGIS Network Analyst: The Case of Municipal Solid Waste Collection

KARADIMAS, N; KOLOKATHI, M; DEFTERAIOU, G; LOUMOS, V

dc.contributor.author	KARADIMAS, N	en
dc.contributor.author	KOLOKATHI, M	en
dc.contributor.author	DEFTERAIOU, G	en
dc.contributor.author	LOUMOS, V	en
dc.date.accessioned	2014-03-01T01:55:49Z
dc.date.available	2014-03-01T01:55:49Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27851
dc.relation.uri	http://www.wseas.us/e-library/conferences/2007tenerife/papers/572-072.pdf	en
dc.subject	Ant Colony System	en
dc.subject	Geographic Information System	en
dc.subject	Municipal Solid Waste	en
dc.subject	Optimal Algorithm	en
dc.subject	Optimal Routing	en
dc.subject	Optimal Solution	en
dc.subject	Road Network	en
dc.subject	Route Optimization	en
dc.subject	Spatial Database	en
dc.title	Ant Colony System vs ArcGIS Network Analyst: The Case of Municipal Solid Waste Collection	en
heal.type	journalArticle	en
heal.publicationDate	2007	en
heal.abstract	In the present paper, two individual algorithmic solutions, the ArcGIS Network Analyst and the Ant Colony System (ACS) algorithm, are introduced, implemented and discussed for the identification of optimal routes in the case of Municipal Solid Waste (MSW) collection. Both proposed applications are based on a geo-referenced spatial database supported by a Geographic Information System (GIS). The GIS takes into	en