Zobrazeno 1 - 10
of 6 285
pro vyhledávání: '"PARTICLE SWARM OPTIMIZATION ALGORITHM"'
Publikováno v:
Leida xuebao, Vol 13, Iss 6, Pp 1355-1369 (2024)
To address the ineffectiveness of single-base radar in suppressing adjoint main-lobe interference, an equivalent large-aperture array can be designed by deploying sparse auxiliary arrays to separate main-lobe interference from targets in the spatial
Externí odkaz:
https://doaj.org/article/14c49ca7d1094db583a7ebd7a1e90334
Publikováno v:
Production Engineering Archives, Vol 30, Iss 4, Pp 477-490 (2024)
Vacuum freeze-dried fruit processes consisting of heating and holding are modelled as a mixed batch scheduling with the objective of minimizing the makespan. The jobs differ from each other in job family, size, weight and ready time. The batch proces
Externí odkaz:
https://doaj.org/article/b7efa84795ff4146a7a7475a0aa0b143
Population fusion optimization algorithm for GNSS integer ambiguity resolution based on PSO and AFSA
Publikováno v:
工程科学学报, Vol 46, Iss 12, Pp 2246-2256 (2024)
Carrier phase measurement plays a crucial role in achieving rapid and high-precision positioning within a global navigation satellite system (Global navigation satellite system, GNSS). A pivotal aspect of this process is the accurate resolution of th
Externí odkaz:
https://doaj.org/article/b28d7926e6f049e5a150cd9715c8958d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract The automation of underground articulated vehicles is a critical step in advancing digital and smart mining. Current nonlinear model predictive control (NMPC) controllers face challenges such as delays in turning on large curvature paths and
Externí odkaz:
https://doaj.org/article/29821b7df4a74b9c84bdcd7ace6b44d9
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31198-31216 (2024)
To enhance the efficiency and accuracy of response analysis in practical multivariable complex engineering problems, we introduced a new interval analysis method—multi-body dynamic evolution sequence-assisted particle swarm optimization (DES-PSO) i
Externí odkaz:
https://doaj.org/article/5802f736c0274743b4b5c2370676dd24
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 328-336 (2024)
The predicted Bridge Condition Index (BCI) is a guiding indicator for formulating preventive maintenance strategies for bridges and is hardly available even if using the most advanced neural network prediction model, owing to the few measured BCIs an
Externí odkaz:
https://doaj.org/article/2e4c5615246f425497fcdd85f7aaf94a
Publikováno v:
水下无人系统学报, Vol 32, Iss 5, Pp 940-947 (2024)
To evaluate system task availability under the condition of real-time fault feature parameter input, a method of assessing task availability capability based on characteristic parameters was proposed. By introducing the neuro-fuzzy system(NFS), a vul
Externí odkaz:
https://doaj.org/article/564ba8a013ab4eb9a40bd5a454fab48d
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 5, Pp 549-561 (2024)
Aiming at the uncertainty of medical waste recycling network, with the quantity and transportation cost of medical waste as the key variables, a multi-objective nonlinear integer programming model with multiple uncertain parameters was constructed, a
Externí odkaz:
https://doaj.org/article/ef5c063e81f9458089ee5ce414e42bd9
Autor:
Shuangqing Chen, Tianqing Liu, Hongli Dong, Yunbo Bao, Ze Yu, Bing Guan, Xiaoyu Jiang, Shun Zhou, Shanlong Wang
Publikováno v:
Natural Gas Industry B, Vol 11, Iss 5, Pp 616-629 (2024)
The layout optimization design of a natural gas gathering pipeline network is a multi-objective optimization problem because the extant theories are unable to meet the different decision preferences in scheme design, which restricts the intelligentiz
Externí odkaz:
https://doaj.org/article/17c27a2007bf4c8c9f7ac75cb9a6d968
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local opt
Externí odkaz:
https://doaj.org/article/446a459d7e84457ba9f07caa68433edb