遗传算法在输电线路寻路中的应用

2013 8th International Conference on Electrical and Electronics Engineering (ELECO) Pub Date : 2013-11-01 DOI:10.1109/ELECO.2013.6713814

H. Eroglu, M. Aydin

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引用次数: 7

摘要

如今，地理信息系统(GIS)解决方案已进入工程研究的各个角落，如输电线路(ETL)路线优化、车辆路线、发电厂选址等。GIS生成的栅格地图是解决这类路线优化问题的有效方法。所有数据的加权和可以转换为栅格图，并在GIS中连续收集，用于ETL路线优化。本文将遗传算法(GA)应用于ETL路线优化问题，以寻找栅格地图上的最佳路线。

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Genetic algorithm in Electrical Transmission Lines path finding problems

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.

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2013 8th International Conference on Electrical and Electronics Engineering (ELECO)

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