Zobrazeno 1 - 10
of 872
pro vyhledávání: '"local optimization"'
Autor:
Xuan Yanzhuang, Xuan Shibin
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100486- (2024)
Due to the classical Grey Wolf algorithm GWO does not consider the characteristics of the local information of individual in population, a novel local random optimization strategy is proposed to make up for the defect of GWO. In this method, several
Externí odkaz:
https://doaj.org/article/4015f7c49f624610a0e5c86aeecf54ef
Publikováno v:
Algorithms, Vol 17, Iss 10, p 446 (2024)
Constructed neural networks with the assistance of grammatical evolution have been widely used in a series of classification and data-fitting problems recently. Application areas of this innovative machine learning technique include solving different
Externí odkaz:
https://doaj.org/article/81f0c4e955284a62b257c567149747d7
Publikováno v:
Machines, Vol 12, Iss 8, p 569 (2024)
Optimization is a mathematical discipline or tool suitable for minimizing or maximizing a function. It has been largely used in every scientific field to solve problems where it is necessary to find a local or global optimum. In the engineering field
Externí odkaz:
https://doaj.org/article/61e22c6d4370474c8c243df010be364c
Autor:
Li Yayun, Zhang Dawei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In order for a robot to complete a given task, it must first be made to autonomously reach a specified target location, so optimizing the robot path trajectory planning is a prerequisite for the use of robots. In this paper, for the two problems of t
Externí odkaz:
https://doaj.org/article/67e988a6d38f4271b918c3ca74e1f726
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Thin cloud contamination adversely influences the interpretation of ground surface information in optical remote sensing images, especially for visible spectral bands with short wavelengths. To eliminate the thin cloud effect in visible remote sensin
Externí odkaz:
https://doaj.org/article/94a5bec5f7ec4f409c55d6def9e38579
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 5, Pp 1111-1122 (2023)
Abstract A novel parameter estimation method is proposed for the permanent magnet synchronous generator (PMSG), which is implemented by an enhanced self‐learning particle swarm optimization algorithm with Levy flight (SLPSO), and the problem of low
Externí odkaz:
https://doaj.org/article/4bc8395a9c834fec9a444deb372175fd
Publikováno v:
Applied Rheology, Vol 32, Iss 1, Pp 190-204 (2022)
Cryogenics has an important influence on industry and science. In this study, optimum working conditions are obtained by applying exergy analysis and local optimization methods to two- and three-stage vapor compression cascade cryogenic cycle. The fi
Externí odkaz:
https://doaj.org/article/adb31c31977c4e2e9f4c6d57f82b76a1
Publikováno v:
Mathematics, Vol 12, Iss 3, p 397 (2024)
In this study, we introduce an innovative approach for the identification of vehicle suspension parameters, employing a methodology that utilizes synthetic and experimental data for non-invasive analysis. Central to our approach is the application of
Externí odkaz:
https://doaj.org/article/f8e796f697804ba4a738f8bd7fe8df89
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