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dc.contributor.authorWolfenden, A.*
dc.contributor.authorVaughan, Neil*
dc.date.accessioned2018-03-23T12:42:03Z
dc.date.available2018-03-23T12:42:03Z
dc.date.issued2018-04-06
dc.identifier.citationWolfenden, A., & Vaughan, N. (2018). How effective is ant colony optimisation at robot path planning. In Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB 2018): Proceedings of the AISB2018 conference, 4-6 April 2018, University of Liverpool (pp. 315-317). Bath, United Kingdom: Society for the Study of Artificial Intelligence & Simulation of Behaviour.en
dc.identifier.isbn9781510872769
dc.identifier.urihttp://hdl.handle.net/10034/621020
dc.description.abstractThis project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static
dc.language.isoenen
dc.publisherThe Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB)en
dc.relation.urlhttps://web.archive.org/web/20191122163138/http://aisb2018.csc.liv.ac.uk/index.html
dc.relation.urlhttp://toc.proceedings.com/41519webtoc.pdf
dc.relation.urlhttp://www.proceedings.com/41519.html
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectAnt Colonyen
dc.subjectOptimisationen
dc.subjectPath planningen
dc.titleHow effective is Ant Colony Optimisation at Robot Path Planningen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Chesteren
dc.date.accepted2018-02-01
or.grant.openaccessYesen
rioxxterms.funderRoyal Academy of Engineeringen
rioxxterms.identifier.projectCSIS17/03en
rioxxterms.versionAMen
rioxxterms.licenseref.startdate2018-04-06
html.description.abstractThis project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static


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