Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daoyin Long"'
Publikováno v:
Symmetry, Vol 12, Iss 11, p 1800 (2020)
In order to solve the problem that the butterfly optimization algorithm (BOA) is prone to low accuracy and slow convergence, the trend of study is to hybridize two or more algorithms to obtain a superior solution in the field of optimization problems
Externí odkaz:
https://doaj.org/article/171a37a1d1d44fb1afb4fa3709ee3df4
Autor:
Jinbiao Li, Changqing Dang, Daoyin Long, Lianchao Zhang, Jing Zhang, Qinmu Wu, Min Liu, Yuhong Cai, Xiangping Chen
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811919213
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b768219a1f25595ae734082f897bed2
https://doi.org/10.1007/978-981-19-1922-0_24
https://doi.org/10.1007/978-981-19-1922-0_24
Publikováno v:
2019 Chinese Automation Congress (CAC).
Aimed at the problem of the grey wolf optimizer (GWO) algorithm of low convergence speed and easily falling into local optimum, this paper proposes a nonlinear control parameter strategy based on sinusoidal function (GWO-SIN) and a nonlinear control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f235d3f52682483b9add0d42b3b1c6
https://doi.org/10.1109/cac48633.2019.8997505
https://doi.org/10.1109/cac48633.2019.8997505
Publikováno v:
Symmetry, Vol 12, Iss 1800, p 1800 (2020)
Symmetry; Volume 12; Issue 11; Pages: 1800
Symmetry; Volume 12; Issue 11; Pages: 1800
In order to solve the problem that the butterfly optimization algorithm (BOA) is prone to low accuracy and slow convergence, the trend of study is to hybridize two or more algorithms to obtain a superior solution in the field of optimization problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1384e772fc98af07ce116095f4fa8d4f
https://doi.org/10.3390/sym12111800
https://doi.org/10.3390/sym12111800