Zobrazeno 1 - 10
of 9 397
pro vyhledávání: '"Genetic algorithm (GA)"'
Autor:
Tiwari, Anurag, Mohapatra, Priyabrata
Publikováno v:
Benchmarking: An International Journal, 2023, Vol. 31, Issue 7, pp. 2391-2410.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BIJ-10-2021-0589
Publikováno v:
Wind Energy, Vol 27, Iss 9, Pp 953-974 (2024)
ABSTRACT Vertical axis wind turbine (VAWT) has a rotating axis perpendicular to the wind direction. This type of wind turbine that is suitable for urban environments has low wind direction dependency and noise. In this research, a novel surrogated ap
Externí odkaz:
https://doaj.org/article/ac9db97d54504dc4924b581dcd4e1d71
Publikováno v:
Artificial Intelligence in Agriculture, Vol 13, Iss , Pp 32-44 (2024)
In this study, an Artificial Neural Network-Genetic Algorithm (ANN-GA) approach was successfully applied to optimise the physicochemical factors influencing the synthesis of unsaturated fatty acids (UFAs) in the microalgae P. kessleri UCM 001. The op
Externí odkaz:
https://doaj.org/article/65cc4137f78e48d191b20b2067b28a3e
Publikováno v:
World Journal of Engineering, 2023, Vol. 21, Issue 4, pp. 675-694.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-01-2023-0016
Autor:
Guanhong XIAO, Haifeng LU
Publikováno v:
Meikuang Anquan, Vol 55, Iss 6, Pp 184-191 (2024)
Mine sudden water has become one of the main hazards affecting the safety production of mines, and rapid and accurate identification of the type of sudden water source is a key step in the management of mine sudden water disaster, so a PCA-GA-RF-base
Externí odkaz:
https://doaj.org/article/52823b2889dd46528e9ed1766552fc7e
Autor:
Milos J. Milovanovic, Svetlana S. Raicevic, Dardan O. Klimenta, Nebojsa B. Raicevic, Bojan D. Perovic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 2, Pp 28-37 (2024)
This paper discusses the problem of optimal placement and sizing of passive harmonic filters to mitigate harmonics in unbalanced distribution systems. The problem is formulated as a nonlinear multiobjective optimisation problem and solved using the m
Externí odkaz:
https://doaj.org/article/d0671dcecdc9498bb2c966f142b91039
Autor:
H. Soltani, Z. Pirzadeh
Publikováno v:
Chemical and Biochemical Engineering Quarterly, Vol 38, Iss 1, Pp 25-47 (2024)
This study aims to present a simple hybrid approach for synthesizing heat exchanger networks (HENs). The synthesis of HEN structures employs a genetic algorithm based on a modified node representation, closely resembling the stage-wise superstructure
Externí odkaz:
https://doaj.org/article/ea77d3748ec14a91acf18dc900ab2646
Autor:
Jianhong Ye, Zhiyong Zhao, Ehsan Ghafourian, AmirReza Tajally, Hamzah Ali Alkhazaleh, Sangkeum Lee
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35083- (2024)
The use of MRI analysis for BTD and tumor type detection has considerable importance within the domain of machine vision. Numerous methodologies have been proposed to address this issue, and significant progress has been achieved in this domain via t
Externí odkaz:
https://doaj.org/article/8f4727bf4dba43c88d6c8fc83b855b6f
Autor:
Vahid Shafaie, Majid Movahedi Rad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract A detailed numerical simulation of Colored Self-Compacting Concrete (CSCC) was conducted in this research. Emphasis was placed on an innovative calibration methodology tailored for ten unique CSCC mix designs. Through the incorporation of mu
Externí odkaz:
https://doaj.org/article/e9681159613d42699b5e28964853c5eb
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 2, Pp 156-165 (2024)
Accurate prediction of ice resistance plays an important role in ensuring the safety of ship sailing in polar navigation in ice areas. In recent years, machine learning has been widely used in the field of ships, among which artificial neural network
Externí odkaz:
https://doaj.org/article/b62b925ef1d74f2faec9e65160b2d49f