Improved adaptive inertia weight PSO algorithm and its application in nuclear power pipeline layout optimization

Table 1. The average fitness and the number of iterations corresponding to different value ranges of \begin{document}$ {c}_{1} $\end{document} and \begin{document}$ {c}_{2} $\end{document}
View table
View in Article
Table 1. The average fitness and the number of iterations corresponding to different value ranges of \begin{document}$ {c}_{1} $\end{document} and \begin{document}$ {c}_{2} $\end{document}
[$ {c}_{\mathrm{m}\mathrm{i}\mathrm{n}}，{c}_{\mathrm{m}\mathrm{a}\mathrm{x}} $] f t
[1.5，2.0] 444.3 558.7
[1.6，2.0] 378.2 521.1
[1.7，2.0] 372.9 449.8
[1.8，2.0] 373.7 541.8
[1.9，2.0] 359.5 623.2

Table 2. Comparison of simulation data between standard PSO algorithm and improved PSO algorithm

View table

View in Article

Table 2. Comparison of simulation data between standard PSO algorithm and improved PSO algorithm

参数	工况a		工况b		工况c		工况d
参数	标准	改进	标准	改进	标准	改进	标准	改进
f_b	683.74	652.37	3 927.64	746.49	608.38	579.44	641.37	545.86
f_w	10 666.23	746.83	23 883.31	955.49	11 704.69	815.00	7 469.09	767.73
f	4 267.99	672.40	9 865.26	878.91	3 714.70	670.61	3 734.28	621.63
B	3.0	2.0	3.0	3.0	3.0	2.1	3.0	2.0
t	898.20	459.60		444.80	870.33	485.80	832.00	437.80
s	21.74	11.71		10.79	20.20	11.69	20.00	10.61
n_opt	5	0	10	0	3	0	5	0
n_con	0	0	0	0	1	0	0	0
P	0.5	1.0	0	1.0	0.6	1.0	0.5	1.0

Table 3. Simulation data of the branch pipeline
View table
View in Article
Table 3. Simulation data of the branch pipeline
参数标准PSO 改进PSO
f_b 208.00 129.16
f_w 2 296.30 201.02
f 624.56 155.02
t 876 531
s 62.94 38.62
n_opt 3 0
P 0.7 1.0

Tools

Get Citation

Copy Citation Text

Yan LIN, Dengyue XIN, Xuanyi BIAN, Qiaoyu ZHANG, Tieli LI. Improved adaptive inertia weight PSO algorithm and its application in nuclear power pipeline layout optimization[J]. Chinese Journal of Ship Research, 2023, 18(3): 1

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Ship Design and Performance

Received: May. 31, 2022

Accepted: --

Published Online: Mar. 20, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.02940

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. The average fitness and the number of iterations corresponding to different value ranges of \begin{document}$ {c}_{1} $\end{document} and \begin{document}$ {c}_{2} $\end{document}

Table 1. The average fitness and the number of iterations corresponding to different value ranges of \begin{document}$ {c}_{1} $\end{document} and \begin{document}$ {c}_{2} $\end{document}

Table 2. Comparison of simulation data between standard PSO algorithm and improved PSO algorithm

Table 2. Comparison of simulation data between standard PSO algorithm and improved PSO algorithm

Table 3. Simulation data of the branch pipeline

Table 3. Simulation data of the branch pipeline