Title :
Genetic algorithm in Electrical Transmission Lines path finding problems
Author :
Eroglu, Hayrettin ; Aydin, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Gumushane Univ., Gümüshane, Turkey
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.
Keywords :
genetic algorithms; geographic information systems; power engineering computing; power transmission lines; power transmission planning; ETL route optimization; GIS; electrical transmission lines path finding; electrical transmission lines route optimization; genetic algorithm; geographic information systems; power plant siting; raster-based maps; route optimization problems; vehicle routing; Biological cells; Genetic algorithms; Geographic information systems; Optimization; Sociology; Software algorithms; Statistics;
Conference_Titel :
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-605-01-0504-9
DOI :
10.1109/ELECO.2013.6713814
