THE ANALYSIS OF GR202 AND BERLIN 52 DATASETS BY ANT COLONY ALGORITHM

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dc.contributor.authorAltıok, Mustafa
dc.contributor.authorKoçer, Barış
dc.date.accessioned2020-03-26T19:07:18Z
dc.date.available2020-03-26T19:07:18Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT) -- DEC 08-10, 2015 -- Kuala Lumpur, MALAYSIAen_US
dc.description.abstractAnt Colony Optimization (ACO) method is inspired by the foraging behaviour of ants to find a good path while searching for food. In ACO method was worked to find in this analysis are the most appropriate parameter values. In Traveling Salesman Problem (TSP) a salesman seeks to find the shortest possible route that visits each city exactly once and returns to the origin city. This study analyses very well-known Berlin 52 and lesser-known Gr202 test problems located in TSPLIB by Ant Colony Optimization. It also aims at finding the proper number of iterations and appropriate parameter values suitable for real world problems. In these test problems with point numbers of 52 and 202, the behaviour of Ant Colony Algorithm was observed. In addition, using these test data, the most appropriate iterations and parameter values were tried to be determined.en_US
dc.description.sponsorshipDesign sci Renaissance, UNiTECH, PECAMP, MSTIen_US
dc.description.sponsorshipSelcuk University OYPCoordination [2014 OYP-048]en_US
dc.description.sponsorshipThis study was supported by Selcuk University OYPCoordination (Project No. 2014 OYP-048).en_US
dc.identifier.doi10.1109/ACSAT.2015.47en_US
dc.identifier.endpage108en_US
dc.identifier.isbn978-1-5090-0424-9
dc.identifier.issn2379-7738en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage103en_US
dc.identifier.urihttps://dx.doi.org/10.1109/ACSAT.2015.47
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32605
dc.identifier.wosWOS:000454655600018en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT)en_US
dc.relation.ispartofseriesInternational Conference on Advanced Computer Science Applications and Technologies
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGrafen_US
dc.subjectTraveling Salesman Problemen_US
dc.subjectAnt Colony Optimizationen_US
dc.titleTHE ANALYSIS OF GR202 AND BERLIN 52 DATASETS BY ANT COLONY ALGORITHMen_US
dc.typeConference Objecten_US

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