Zobrazeno 1 - 10
of 159
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:
Energies, Vol 17, Iss 23, p 6052 (2024)
Accurately estimating the state of charge (SOC) of lithium-ion batteries is of great significance for extending battery lifespan and enhancing the efficiency of energy management. Regarding the issue of the relatively low estimation accuracy of SOC b
Externí odkaz:
https://doaj.org/article/695c33db17724613b672f2b216259359
Publikováno v:
Biomimetics, Vol 9, Iss 11, p 683 (2024)
In recent years, twin stacker crane units have been increasingly integrated into large automated storage and retrieval systems (AS/RSs) in shipyards to enhance operational efficiency. These common rail units often encounter conflicts, and the additio
Externí odkaz:
https://doaj.org/article/f12205b3d8fa43f09bbfe6eacb161713
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:
Actuators, Vol 13, Iss 9, p 344 (2024)
The lower limb exoskeleton (LLE) plays an important role in production activities requiring assistance and load bearing. One of the challenges is to propose a control strategy that can meet the requirements of LLE trajectory tracking in different sce
Externí odkaz:
https://doaj.org/article/ae2ff7c0851a4c6d840ff67811ae0ed8
Publikováno v:
Biomimetics, Vol 9, Iss 9, p 552 (2024)
Path planning is a key problem in the autonomous navigation of mobile robots and a research hotspot in the field of robotics. Harris Hawk Optimization (HHO) faces challenges such as low solution accuracy and a slow convergence speed, and it easy fall
Externí odkaz:
https://doaj.org/article/bbbe5b5359f244d4b376813579ff16f2
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