Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Dung beetle optimizer"'
Autor:
Shuangji Yao, Yunfei Guo, Botao Yang, You Lv, Marco Ceccarelli, Xiaoshuang Dai, Giuseppe Carbone
Publikováno v:
STEM Education, Vol 4, Iss 3, Pp 299-327 (2024)
Given the characteristics of the flexible job-shop scheduling problem and the practical production of a given enterprise, a flexible job-shop scheduling model was proposed to minimize the maximum completion time. A novel algorithm was proposed to sol
Externí odkaz:
https://doaj.org/article/1144488ac00943769a107d635902fa75
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e34141- (2024)
China is rich in mineral resources, and problems of goaf formed in the process of resource exploitation are serious obstacle to the development of China's economic, so it is of great significance for the assessment and management of goafs. This paper
Externí odkaz:
https://doaj.org/article/fe6bb5565fc04531947055f1144eb0ab
Publikováno v:
IEEE Access, Vol 12, Pp 69240-69257 (2024)
In high-dimensional scenarios, path planning is a challenging and computationally complex optimization task that requires finding optimal paths within complex domains. Metaheuristic (MH) algorithms offer a practical approach to addressing this issue.
Externí odkaz:
https://doaj.org/article/3597845d3e2741ed81d18b556d019e16
Publikováno v:
IEEE Access, Vol 12, Pp 43396-43409 (2024)
As an emerging distributed machine learning technology, federated learning has gained widespread attention due to its critical privacy protection mechanism. However, it also faces challenges such as high communication costs and heterogeneous client d
Externí odkaz:
https://doaj.org/article/8ec7c0246dbb4a9893caaaf35ca2aa90
Publikováno v:
Alexandria Engineering Journal, Vol 81, Iss , Pp 469-488 (2023)
There are many tricky optimization problems in real life, and metaheuristic algorithms are the most effective way to solve optimization problems at a lower cost. The dung beetle optimization algorithm (DBO) is a more innovative algorithm proposed in
Externí odkaz:
https://doaj.org/article/be00921c8920406e91270fbd1d6f864a
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 5966 (2024)
Short-term power load forecasting plays a key role in daily scheduling and ensuring stable power system operation. The problem of the volatility of the power load sequence and poor prediction accuracy is addressed. In this study, a learning model int
Externí odkaz:
https://doaj.org/article/5cc677fcafbc4b2ba82c7467b8940bdc
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1955 (2024)
Addressing the formidable challenges posed by multiple jammers jamming multiple radars, which arise from spatial discretization, many degrees of freedom, numerous model input parameters, and the complexity of constraints, along with a multi-peaked ob
Externí odkaz:
https://doaj.org/article/46639893e7d049bf95c41b76ce36ae66
Publikováno v:
Sensors, Vol 24, Iss 9, p 2873 (2024)
Accurate measurement of coal gas permeability helps prevent coal gas safety accidents effectively. To predict permeability more accurately, we propose the IDBO-BPNN coal body gas permeability prediction model. This model combines the Improved Dung Be
Externí odkaz:
https://doaj.org/article/04baddea3711450c9a06c84c7672debe
Publikováno v:
Sensors, Vol 24, Iss 6, p 1734 (2024)
To solve the problems of high computational cost and the long time required by the simulation and calculation of aeroengines’ exhaust systems, a method of predicting the characteristics of infrared radiation based on the hybrid kernel extreme learn
Externí odkaz:
https://doaj.org/article/95189fbab1054fc99f668ec5a4b26116
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