Scopus
YÖKSİS Eşleşti
Artificial Bee Colony with Levy Flights for Parameter Estimation of 3-p Weibull Distribution
Iranian Journal of Science and Technology, Transaction A: Science · Haziran 2020
YÖKSİS Kayıtları
Artificial Bee Colony with Levy Flights for Parameter Estimation of 3-p Weibull Distribution
Iranian Journal of Science and Technology, Transactions A: Science · 2020 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ AYNUR YONAR →
Makale Bilgileri
DergiIranian Journal of Science and Technology, Transaction A: Science
Yayın TarihiHaziran 2020
Cilt / Sayfa44 · 851-864
Scopus ID2-s2.0-85084843882
Özet
Three-parameter (3-p) Weibull distribution is widely used to model failure distribution in reliability studies, and so the estimation of the parameters of this distribution is very crucial. The maximum likelihood (ML) method is the most popular method among parameter estimation methods. However, likelihood equations do not have explicit solutions for the 3-p Weibull distribution. Therefore, using metaheuristic methods is logical to obtain the ML estimation of 3-p Weibull distribution. The artificial bee colony (ABC) is one of the very simple, robust and population-based stochastic metaheuristic algorithms. The aim of this study is to obtain ML estimations of parameters of 3-p Weibull distribution by suggesting ABC with Levy flights (LABC) which improve the exploitation ability of the ABC algorithm. Furthermore, the ML estimation results of the LABC algorithm are compared with other well-known metaheuristic algorithms, standard ABC, particle swarm optimization, particle swarm optimization with Levy flights, simulated annealing, differential evolution and genetic algorithm through simulation studies and a real-data application. The results show that the suggested LABC algorithm gives more accurate ML estimations than the other metaheuristic algorithms for the parameter estimation of 3-p Weibull distribution.
Yazarlar (2)
1
Aynur Yonar
2
Nimet Yapıcı Pehlivan
Anahtar Kelimeler
Artificial bee colony algorithm
Levy flights
Maximum likelihood
Metaheuristic algorithms
Parameter estimation
Weibull distribution
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
11
Atıf
2
Yazar
6
Anahtar Kelime