Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Jingsen Liu"'
Publikováno v:
工程科学学报, Vol 46, Iss 10, Pp 1864-1879 (2024)
As optimization problems grow increasingly complex, characterized by their intricate difficulty, larger-scale, and diverse constraints, swarm intelligence optimization algorithms have emerged as an effective solution for addressing these multifaceted
Externí odkaz:
https://doaj.org/article/c385667bd198454990d8122249e1bba0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Tree–seed algorithm is a stochastic search algorithm with superior performance suitable for solving continuous optimization problems. However, it is also prone to fall into local optimum and slow in convergence. Therefore, this paper propo
Externí odkaz:
https://doaj.org/article/dbdff5c099584961806a6e94aaaf3773
Publikováno v:
PLoS ONE, Vol 17, Iss 10 (2022)
The Equilibrium Optimizer (EO) is a recently proposed intelligent optimization algorithm based on mass balance equation. It has a novel principle to deal with global optimization. However, when solving complex numerical optimization problems and engi
Externí odkaz:
https://doaj.org/article/1e5c84c814ad407786e5493f2eb64e1a
Autor:
Zhongchun Xiao, Chao Zhang, Fang Tang, Bo Yang, Liyuan Zhang, Jingsen Liu, Qiang Huo, Shufeng Wang, Shengting Li, Lijuan Wei, Hai Du, Cunmin Qu, Kun Lu, Jiana Li, Nannan Li
Publikováno v:
Biotechnology for Biofuels, Vol 12, Iss 1, Pp 1-16 (2019)
Abstract Background Increasing seed oil content is one of the most important targets for rapeseed (Brassica napus) breeding. However, genetic mechanisms of mature seed oil content in Brassica napus (B. napus) remain little known. To identify oil cont
Externí odkaz:
https://doaj.org/article/108f43e7e70d4cc3b2c73aa2c9fded21
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 15 (2021)
In order to improve the convergence speed and optimization accuracy of the bat algorithm, a bat optimization algorithm with moderate optimal orientation and random perturbation of trend is proposed. The algorithm introduces the nonlinear variation fa
Externí odkaz:
https://doaj.org/article/34c4196a4f694381ac2533c982861fcd
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0255951 (2021)
The firefly algorithm (FA) is proposed as a heuristic algorithm, inspired by natural phenomena. The FA has attracted a lot of attention due to its effectiveness in dealing with various global optimization problems. However, it could easily fall into
Externí odkaz:
https://doaj.org/article/4c1a25e7e2e848a48c274883dd4fcd30
Publikováno v:
Symmetry, Vol 12, Iss 8, p 1234 (2020)
In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve engineering problems. Two novel effective strategies composed of Lévy flight and dimension-by-dimension evaluation are synchronously introduced into the moth-f
Externí odkaz:
https://doaj.org/article/32db0260cb5c497d8e02a30ea3b6bc9a
Publikováno v:
Symmetry, Vol 11, Iss 7, p 925 (2019)
This paper proposed an improved bat algorithm based on Lévy flights and adjustment factors (LAFBA). Dynamically decreasing inertia weight is added to the velocity update, which effectively balances the global and local search of the algorithm; the s
Externí odkaz:
https://doaj.org/article/5832931095de44289084e359534efd6a
Publikováno v:
Mathematics and Computers in Simulation. 204:498-528
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe75404e1abb64f66d8f03f888e42ee
https://doi.org/10.1016/j.matcom.2022.08.020
https://doi.org/10.1016/j.matcom.2022.08.020
Publikováno v:
Journal of Bionic Engineering. 19:554-570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9361ca94b6493282fd91dbf26815cf3
https://doi.org/10.1007/s42235-021-00143-3
https://doi.org/10.1007/s42235-021-00143-3