Genetic algorithm in Electrical Transmission Lines path finding problems
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Özet
Today, Geographic Information Systems (GIS) solutions have entered every corner of the engineering studies like Electrical Transmission Lines (ETL) route optimization, vehicle routing, power plant siting and so on. Raster-based maps generated by GIS are very useful solutions for this kind of route optimization problems. The weighted sum of all the data can be converted to raster-based maps and gathered consecutively in GIS for ETL route optimization. In this paper, Genetic Algorithm (GA) is applied to ETL route optimization problems in order to find the best route on raster-based maps.
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/13112Resmi atıflarda kullanılan kalıcı adresTam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Eroglu, Hasan | |
| dc.contributor.author | Aydin, Musa | |
| dc.contributor.other | IEEE | |
| dc.date.accessioned | 2026-10-22T10:20:56.437156690Z | |
| dc.date.available | 2026-10-22T10:20:56.437156690Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Today, Geographic Information Systems (GIS) solutions have entered every corner of the engineering studies like Electrical Transmission Lines (ETL) route optimization, vehicle routing, power plant siting and so on. Raster-based maps generated by GIS are very useful solutions for this kind of route optimization problems. The weighted sum of all the data can be converted to raster-based maps and gathered consecutively in GIS for ETL route optimization. In this paper, Genetic Algorithm (GA) is applied to ETL route optimization problems in order to find the best route on raster-based maps. | |
| dc.identifier.articlenumber | 6713814 | |
| dc.identifier.doi | 10.1109/eleco.2013.6713814 | |
| dc.identifier.endpage | 116 | |
| dc.identifier.isbn | 978-605010504-9 | |
| dc.identifier.scopus | 2-s2.0-84894204580 | |
| dc.identifier.startpage | 112 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/13112 | |
| dc.identifier.wos | WOS:000333752200025 | |
| dc.language.iso | en | |
| dc.publisher | IEEE Computer Society | |
| dc.relation.conference | 8th International Conference on Electrical and Electronics Engineering, ELECO 2013 | |
| dc.relation.ispartof | ELECO 2013 - 8th International Conference on Electrical and Electronics Engineering | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject.classification | Engineering, Electrical & Electronic | |
| dc.subject.classification | Engineering | |
| dc.subject.other | Electric lines | |
| dc.subject.other | Genetic algorithms | |
| dc.subject.other | Geographic information systems | |
| dc.subject.other | Vehicle routing | |
| dc.subject.other | Electrical transmission | |
| dc.subject.other | Path finding problems | |
| dc.subject.other | Route optimization | |
| dc.subject.other | Weighted Sum | |
| dc.subject.other | Vehicle transmissions | |
| dc.title | Genetic algorithm in Electrical Transmission Lines path finding problems | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 13 | |
| rdl.citation.scopus | 12 | |
| rdl.citation.wos | 7 | |
| rdl.conference.date | 28 November 2013 through 30 November 2013 | |
| rdl.conference.place | Bursa | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG09 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Conference Proceedings Citation Index - Science (CPCI-S) |

