Zobrazeno 1 - 10
of 193
pro vyhledávání: '"bird swarm algorithm"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 15044-15074 (2023)
Predicting construction costs often involves disadvantages, such as low prediction accuracy, poor promotion value and unfavorable efficiency, owing to the complex composition of construction projects, a large number of personnel, long working periods
Externí odkaz:
https://doaj.org/article/117ada1d6079441e98eef734d95cfa13
Publikováno v:
Alexandria Engineering Journal, Vol 73, Iss , Pp 543-577 (2023)
Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that simulates Archimedes principles. AOA has been used in a variety of real-world applications because of potential properties such as a limited number of control parameters, a
Externí odkaz:
https://doaj.org/article/3ef6d47f0cc244e896243abd9f1f6cfb
Publikováno v:
IEEE Access, Vol 11, Pp 23659-23680 (2023)
A dominant statistical method, in which the best combination of factors’ levels are predicted by analyzing a few representative combinations of factors’ levels, named as orthogonal experimental design (OED). The OED is an effective approach for a
Externí odkaz:
https://doaj.org/article/a99baf1ef37a40099a8d2182b22b2697
Publikováno v:
Global Energy Interconnection, Vol 5, Iss 2, Pp 154-167 (2022)
Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications. However, the low accuracy and poor convergence of these al
Externí odkaz:
https://doaj.org/article/9ecd6368385945f596cbb6a6047a2f85
Publikováno v:
International Journal of Structural Integrity, 2021, Vol. 12, Issue 4, pp. 629-644.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-03-2021-0029
Autor:
Ivette Miramontes, Patricia Melin
Publikováno v:
Axioms, Vol 12, Iss 9, p 834 (2023)
The pursuit of continuous improvement across diverse processes presents a pressing challenge. Precision in manufacturing, efficient delivery route planning, and accurate diagnostics are imperative, prompting the exploration of innovative solutions. N
Externí odkaz:
https://doaj.org/article/1583e53a379c43129f78ffb96b17c7db
Autor:
Satya Sujith, K., Sasikala, G.
Publikováno v:
Data Technologies and Applications, 2020, Vol. 55, Issue 1, pp. 19-40.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-01-2020-0019
Publikováno v:
IEEE Access, Vol 9, Pp 36078-36086 (2021)
With the commercialization of 5G, in order to recognize QAM signals, one of the main modulation modes in 5G communication systems, this paper put forward the BP-BSA network model based on bird swarm algorithm (BSA) and BP neural network. Firstly, the
Externí odkaz:
https://doaj.org/article/6d75d98b17b1460c8de2860daa49f502
Publikováno v:
IEEE Access, Vol 9, Pp 36382-36398 (2021)
This paper introduces an effective method by combining the multi-objective technique with the bird swarm algorithm (BSA) to obtain a new method called MBSA. The MBSA obtains some of the different non-dominated techniques that maintain variety amongst
Externí odkaz:
https://doaj.org/article/544d48bd46ae40c3b153b8bf543b339b
Publikováno v:
IEEE Access, Vol 9, Pp 159809-159826 (2021)
In recent studies, emphasis has been placed on optimal power flow (OPF) problems in traditional thermal, wind, and solar energy sources-based hybrid power systems. Various metaheuristic algorithms have been proposed to find optimal solutions to the O
Externí odkaz:
https://doaj.org/article/448fdb99eb344b82b10adff9ac7a07b8