Power economic dispatch using a hybrid genetic algorithm
Küçük Resim Yok
Tarih
2001
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The algorithm incorporates the solution produced by an improved Hopfield neural network (NN) [1] as a part of its initial population. Elitism, arithmetic crossover, and mutation are used in the GAs to generate successive sets of possible operating policies. The technique improves the quality of the solution and reduces the computation time, and is compared with the classical optimization technique, an improved Hopfield NN approach (IHN) [1], a fuzzy logic controlled GA (FLCGA) [2], and an improved GA (IGA) [3].
Açıklama
Anahtar Kelimeler
Arithmetic crossover, Economic dispatch, HGA, Hopfield neural networks
Kaynak
IEEE Power Engineering Review
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
21
Sayı
3
