Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shi-Guang Zheng"'
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 6, Pp 1840-1854 (2022)
Abstract Marine Predator Algorithm (MPA) is an optimization algorithm inspired by the behavior of predator and prey to catch their own food. MPA is simple and easy to implement. To further improve the performance of MPA, this paper proposes a Multigr
Externí odkaz:
https://doaj.org/article/d42382e2ad804ec98bcb90e48fb72b64
Publikováno v:
Mathematics and Computers in Simulation. 203:306-327
Publikováno v:
Energy Science & Engineering. 10:1840-1854
Publikováno v:
Cluster Computing. 24:2083-2098
Salp swarm algorithm (SSA) is a swarm intelligence algorithm inspired by the swarm behavior of salps in oceans. In this paper, a adaptive multi-group salp swarm algorithm (AMSSA) with three new communication strategies is presented. Adaptive multi-gr
Autor:
Cheng-Kuo Chang, Shi-Guang Zheng
Publikováno v:
2021 International Automatic Control Conference (CACS).
Publikováno v:
Engineering Applications of Artificial Intelligence. 111:104787
Publikováno v:
2020 International Automatic Control Conference (CACS).
This study took the pitch angle in the wind turbine as the control target. The performance of the fuzzy pitch angle controller has a strong correlation with its parameter tuning. The quality of the parameters tuning even determine whether the output
Publikováno v:
ISA transactions. 115
Firefly algorithm (FA) is a meta-heuristic optimization algorithm inspired by nature. Due to its superior performance, it has been widely used in real life. However, it also has some shortcomings in some optimization cases, such as low solution accur