Zobrazeno 1 - 10
of 249
pro vyhledávání: '"engineering problem"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract The optical microscope algorithm (OMA) is a metaheuristic algorithm that draws inspiration from the magnifying functionality of optical microscopes. This study introduces an enhanced variant of OMA, termed PMSOMA, designed to mitigate the or
Externí odkaz:
https://doaj.org/article/e4cbb7fe91874e6a84c11901eb06a455
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract The Forensic-Based Investigation (FBI) algorithm is a novel metaheuristic algorithm. Many researches have shown that FBI is a promising algorithm due to two specific population types. However, there is no sufficient information exchange betw
Externí odkaz:
https://doaj.org/article/f9f122443bcb4c0db34087929c4ce5b1
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 12, Pp 2896-2912 (2023)
The remora optimization algorithm (ROA) is a meta heuristic optimization algorithm proposed in 2021. It simulates the behavior of parasitic attachment to the host, empirical attack and host foraging in the ocean. The structure of ROA is simple and ea
Externí odkaz:
https://doaj.org/article/9a528c49de254653a75c941e7f2fd453
Autor:
Bahareh Etaati, Mehdi Neshat, Amin Abdollahi Dehkordi, Navid Salami Pargoo, Mohammed El-Abd, Ali Sadollah, Amir H. Gandomi
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101859- (2024)
Optimising the shape and size of large-scale truss frames is challenging because there is a nonlinear interaction between cross-sectional and nodal coordinate forces of structures. Meanwhile, combining the shape and bar size variables creates a multi
Externí odkaz:
https://doaj.org/article/37d760b7986f4a4ba015db66b2ae1465
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6422-6467 (2023)
The aquila optimization algorithm (AO) is an efficient swarm intelligence algorithm proposed recently. However, considering that AO has better performance and slower late convergence speed in the optimization process. For solving this effect of AO an
Externí odkaz:
https://doaj.org/article/334127d823924fb5b97ed93be5770116
Publikováno v:
Mendel, Vol 29, Iss 1 (2023)
In this paper, the performance of the Differential Evolution algorithm is evaluated when solving real-world problems. A Set of 13 engineering optimisation problems was selected from the fields of mechanics and industry to illustrate the usability of
Externí odkaz:
https://doaj.org/article/3110c3f3b8fa490bb23616f4a0b50018
Akademický článek
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Akademický článek
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Publikováno v:
Axioms, Vol 12, Iss 10, p 907 (2023)
In recent years, due to the growing complexity of real-world problems, researchers have been favoring stochastic search algorithms as their preferred method for problem solving. The slime mould algorithm is a high-performance, stochastic search algor
Externí odkaz:
https://doaj.org/article/ddcc2cd0229b43ff9e96026e43a3ddce
Akademický článek
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