@inproceedings{94c2e8f0a50b4d1996291ddc91078f6d,
title = "Hybrid optimization algorithm to the problem of Distributed Generation power losses",
abstract = "In this paper it presents a methodology that aims to deliver a near optimal Distributed Generation (DG) in the process of allocation DG units by using a hybrid genetic algorithm, Hence, the main aim is to minimize power losses in DG. The proposed algorithm in this paper involves two main parts of algorithms an artificial neural network (ANN) that found to evaluate the fitness function in the generation of the best DG distribution and a local search procedure that allows the algorithm to search a massive range of neighbours units.",
keywords = "ANN, DG, GA",
author = "Ahmed Ali and Ilyes Boulkaibet and Bhekisipho Twala and Tshilidzi Marwala",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 ; Conference date: 09-10-2016 Through 12-10-2016",
year = "2017",
month = feb,
day = "6",
doi = "10.1109/SMC.2016.7844485",
language = "English",
series = "2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1719--1724",
booktitle = "2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings",
address = "United States",
}