Route Selection Problem Based on Hopfield Neural Network

dc.contributor.authorKojic, Nenad
dc.contributor.authorReljin, Irini
dc.contributor.authorReljin, Branimir
dc.coverage.issue4cs
dc.coverage.volume22cs
dc.date.accessioned2015-01-21T14:45:02Z
dc.date.available2015-01-21T14:45:02Z
dc.date.issued2013-12cs
dc.description.abstractTransport network is a key factor of economic, social and every other form of development in the region and the state itself. One of the main conditions for transport network development is the construction of new routes. Often, the construction of regional roads is dominant, since the design and construction in urban areas is quite limited. The process of analysis and planning the new roads is a complex process that depends on many factors (the physical characteristics of the terrain, the economic situation, political decisions, environmental impact, etc.) and can take several months. These factors directly or indirectly affect the final solution, and in combination with project limitations and requirements, sometimes can be mutually opposed. In this paper, we present one software solution that aims to find Pareto optimal path for preliminary design of the new roadway. The proposed algorithm is based on many different factors (physical and social) with the ability of their increase. This solution is implemented using Hopfield's neural network, as a kind of artificial intelligence, which has shown very good results for solving complex optimization problems.en
dc.formattextcs
dc.format.extent1182-1193cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2013, vol. 22, č. 4, s. 1182-1193. issn 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36972
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2013/13_04_1182_1193.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectTransport network planningen
dc.subjectroute selection problemen
dc.subjectneural networken
dc.subjectartificial intelligence.en
dc.titleRoute Selection Problem Based on Hopfield Neural Networken
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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