Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395027
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dc.contributor.authorRaymond Chiong-
dc.contributor.authorJofry Hadi Sutanto-
dc.contributor.authorWendy Japutra Jap-
dc.date.accessioned2023-06-15T07:53:56Z-
dc.date.available2023-06-15T07:53:56Z-
dc.identifier.otherukmvital:122737-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/395027-
dc.description.abstractIn this paper, we examine different search algorithms from artificial intelligence that can be used for solving the shortest path problem. We investigate the use of three informed search algorithms and three uninformed search algorithms for intelligent travel planning based On some major cities and towns in Borneo Island. We also present an improved dijkstra's algorithm for this task. We show that while best-first and A* are effective at finding short useful paths, hill-climbing and most of the uninformed search algorithms are much less useful. The improved dijkstra's algorithm is the best in terms of accuracy and shortness of path found.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectArtificial intelligence-
dc.subjectIntelligent travel planning-
dc.subjectBorneo Island-
dc.titleA comparative study on informed and uninformed search for intelligent travel planning in Borneo Island-
dc.typeSeminar Papers-
dc.format.pages5-
dc.identifier.callnoT58.5.C634 2008 kat sem j.3-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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