A new genetic algorithm with arithmetic crossover to economic and a environmental economic dispatch
Küçük Resim Yok
Tarih
2005
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
C R L PUBLISHING LTD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a new genetic approach based on arithmetic crossover for solving the economic dispatch and environmentally constrained economic dispatch problems. Elitism, arithmetic crossover and mutation are used in the genetic algorithm to generate successive sets of possible operating policies. The proposed technique improves the quality of the solution. The employed arithmetic crossover operation takes the real values presented by two individuals and produced new generation on the basis of the arithmetic mean. For economic dispatch problem, the new genetic approach is compared with an improved Hopfield NN approach (IHN) [1], a fuzzy logic controlled genetic algorithm (FLCGA) [2], an advance engineered-conditioning genetic approach (AECGA) [3] and an advance Hopfield NN approach (AHNN) [4]. The results of the proposed approach for environmentally economic dispatch are compared with the results of the Taboo Search (TS) [5], the Hopfield NN [5] and a neural networks approach [6].
Açıklama
Anahtar Kelimeler
economic dispatch, environmentally dispatch, genetic algorithm, arithmetic crossover
Kaynak
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
13
Sayı
1
