Zobrazeno 1 - 10
of 86
pro vyhledávání: '"aquila optimization algorithm"'
Autor:
Gopi S., Prabhujit Mohapatra
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 135-157 (2024)
The Aquila Optimization (AO) algorithm is a newly established swarm-based method that mimics the hunting behavior of Aquila birds in nature. However, in complex optimization problems, the AO has shown a slow convergence rate and gets stuck in the loc
Externí odkaz:
https://doaj.org/article/0fc60b2d5a6e41b68d08600368162d18
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract To accommodate China’s electricity market reforms integrating medium and long-term (MLT) transactions and spot transactions, and to boost renewable energy consumption through the spot market, this paper proposes an optimized cross-provinci
Externí odkaz:
https://doaj.org/article/144a2c8255964a609266816545723c10
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 11-85 (2024)
Electric vehicles (EVs) as a sustainable safety system are being increasingly used and receiving attention from researchers for several reasons including optimal performance, affordability for consumers, and environmental safety. EV speed control is
Externí odkaz:
https://doaj.org/article/f52d8940ce774e4f9c75cb3fc900b937
Autor:
Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama
Publikováno v:
IEEE Access, Vol 12, Pp 71055-71065 (2024)
Recently, consumer product recognition comprises harnessing cutting-edge technologies namely artificial intelligence (AI) and computer vision (CV) to develop the purchasing expedition. This technology allows retailers to utilize robust product recogn
Externí odkaz:
https://doaj.org/article/93f1b0aebe5b46c7b697cffada6d106c
Publikováno v:
IEEE Access, Vol 11, Pp 111655-111671 (2023)
Uncertainty and complexity in the local path planning are hot topics. In this paper, a novel IAOFC algorithm is proposed for local path planning in the complex environment. Considering the uncertainty and complexity of local path planning, this paper
Externí odkaz:
https://doaj.org/article/bcd59c54210c4a5f857569f2997db1dd
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6422-6467 (2023)
The aquila optimization algorithm (AO) is an efficient swarm intelligence algorithm proposed recently. However, considering that AO has better performance and slower late convergence speed in the optimization process. For solving this effect of AO an
Externí odkaz:
https://doaj.org/article/334127d823924fb5b97ed93be5770116
Publikováno v:
Environmental Research Communications, Vol 6, Iss 7, p 075025 (2024)
Water pollution is a significant cause of death globally, resulting in 1.8 million deaths annually due to waterborne diseases. Assessing water quality is a complex process that involves identifying contaminants in water sources and determining whethe
Externí odkaz:
https://doaj.org/article/5abb47e7c85e45a3a7d760d4689f9c13
Akademický článek
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Autor:
Juan ZHAO, Zheng-Ming GAO
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 5867-5904 (2022)
A new swarm-based optimization algorithm called the Aquila optimizer (AO) was just proposed recently with promising better performance. However, as reported by the proposer, it almost remains unchanged for almost half of the convergence curves at the
Externí odkaz:
https://doaj.org/article/5c328a7508f34332bc520b6510dc00d7
Publikováno v:
IEEE Access, Vol 10, Pp 22487-22515 (2022)
Considering the complicated multimodality, separability, scalability, symmetry characteristics of real-world engineering problems, we are still under the way to find more capable algorithms to solve them. The Aquila optimization (AO) algorithm was ju
Externí odkaz:
https://doaj.org/article/abe3408b500545b2bf9c1a8d698278c7