Zobrazeno 1 - 10
of 56 214
pro vyhledávání: '"Evolutionary algorithm"'
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 91-103 (2024)
Ontology serves as a structured knowledge representation that models domain-specific concepts, properties, and relationships. Ontology matching (OM) aims to identify similar entities across distinct ontologies, which is essential for enabling communi
Externí odkaz:
https://doaj.org/article/33a306b5347b4f0b8135f83c786547f1
Autor:
LIU Yali, XIONG Wei
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 4, Pp 97-104 (2024)
In order to further solve the optimization problem of reconnaissance constellation and strengthen the construction of space-based reconnaissance system, the current optimization methods of reconnaissance constellation are studied and summarized. The
Externí odkaz:
https://doaj.org/article/1ef3da1355764b5e9cbe761481b2a63f
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 4, pp. 842-864.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-04-2023-0153
Autor:
Shakuntla Singla, Diksha Mangla
Publikováno v:
Journal of Mechanics of Continua and Mathematical Sciences, Vol 19, Iss 7, Pp 126-137 (2024)
This research paper explores the behavior analysis of a repairable 2-out-of-4 system utilizing an evolutionary algorithm approach. The 2-out-of-4 system configuration is a critical setup widely employed in various engineering applications, necessitat
Externí odkaz:
https://doaj.org/article/aa306ae0e70043229be17e8eaa3e1db5
Publikováno v:
Fundamental Research, Vol 4, Iss 4, Pp 941-950 (2024)
Neural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types o
Externí odkaz:
https://doaj.org/article/d70b6acc734a47ec9205c21f20b76e4b
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6509-6543 (2024)
Abstract Although the multiobjective evolutionary algorithms (MOEAs) have been proved to bring promising prospects for solving multiobjective optimization problems (MOPs), the performance of the algorithm deteriorates sharply in high-dimensional obje
Externí odkaz:
https://doaj.org/article/b4c715e8892e49ba8234e59e07e8367d
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 1551-1575 (2024)
As customers’ expectations continue to rise, advanced on-demand transport services face the challenge of meeting new requirements. This study addresses a specific transportation issue belonging to dial-a-ride problems, including constraints aimed a
Externí odkaz:
https://doaj.org/article/f9270b897a064cd890049f7657944c82
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 3, Pp 1-11 (2024)
Virtual coupling of urban rail train sets represents a cutting-edge frontier in urban rail transit research, with the goal of improving operational efficiency of trains on the existing lines, particularly in the starting and stopping stages. This pap
Externí odkaz:
https://doaj.org/article/0de01b6ced02440690e8981243cf87d2
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 6, Pp 2365-2384 (2024)
Abstract How to effectively utilize renewable energy and improve the economic efficiency of microgrid system and its ability to consume renewable energy has become one of the main problems facing China at present. In response to this challenge, this
Externí odkaz:
https://doaj.org/article/e25629af581a468a92914c9ed7df0300
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Drug design is a challenging and important task that requires the generation of novel and effective molecules that can bind to specific protein targets. Artificial intelligence algorithms have recently showed promising potential t
Externí odkaz:
https://doaj.org/article/4e2ed60152f34aa3a9665f9dc8c02b1b