Optics and Precision Engineering, Volume. 30, Issue 14, 1749(2022)
CSA-NSGAII algorithm for magnetically shielded room shield lamination optimization
[1] [1] 1刘添豪. 零磁装置内高均匀度微特级磁场的实现及应用研究[D]. 哈尔滨: 哈尔滨工业大学, 2021.LIUT H. Research on Realization and Application of μT-level Magnetic Fields of High Homogeneity Inside Magnetically Shielded Rooms[D]. Harbin: Harbin Institute of Technology, 2021. (in Chinese)
[2] [2] 2李永倩, 温芳芳, 王劭龙. 基于磁流体的温度磁场测量技术研究进展[J]. 激光与光电子学进展, 2022, 59(5): 0500003. doi: 10.3788/LOP202259.0500003LIY Q, WENF F, WANGS L. Research progress of temperature and magnetic field dual-parameter measurement technology based on magnetic fluids[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0500003.(in Chinese). doi: 10.3788/LOP202259.0500003
[3] [3] 3王永良. 超导量子干涉仪磁传感器电路关键技术研究[D]. 合肥: 中国科学技术大学, 2021. doi: 10.7498/aps.70.20210286WANGY L. Study on the Circuit Technologies of SQUID Sensor for Practical Applications[D]. Hefei: University of Science and Technology of China, 2021. (in Chinese). doi: 10.7498/aps.70.20210286
[4] S DICKERSON, J M HOGAN, D M S JOHNSON et al. A high-performance magnetic shield with large length-to-diameter ratio. The Review of Scientific Instruments, 83(2012).
[5] K DEB, A PRATAP, S AGARWAL et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182-197(2002).
[6] E ZITZLER, L THIELE. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 3, 257-271(1999).
[7] [7] 7郑金华. 多目标进化算法及其应用[M]. 北京: 科学出版社, 2007. doi: 10.1109/icnc.2007.43ZHENGJ H. Multi-objective Optimization Algorithm and Application[M]. Beijing: Science Press, 2007.(in Chinese). doi: 10.1109/icnc.2007.43
[8] A CANOVA, F FRESCHI, L GIACCONE et al. Identification of material properties and optimal design of magnetically shielded rooms. Magnetochemistry, 7, 23(2021).
[9] F FRESCHI, M REPETTO. VIS: an artificial immune network for multi-objective optimization. Engineering Optimization, 38, 975-996(2006).
[10] J D LI, Z WANG, W QUAN. Multi-objective optimization of multilayer passive magnetic shield based on genetic algorithm. AIP Advances, 9, 125210(2019).
[11] [11] 11公茂果, 焦李成, 杨咚咚, 等. 进化多目标优化算法研究[J]. 软件学报, 2009, 20(2): 271-289. doi: 10.3724/sp.j.1001.2009.00271GONGM G, JIAOL C, YANGD D, et al. Research on evolutionary multi-objective optimization algorithms[J]. Journal of Software, 2009, 20(2): 271-289.(in Chinese). doi: 10.3724/sp.j.1001.2009.00271
[12] Y TIAN, R CHENG, X Y ZHANG et al. A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization. IEEE Transactions on Evolutionary Computation, 23, 331-345(2019).
[13] J MOLINA, L V SANTANA, A G HERNÁNDEZ-DÍAZ et al. G-dominance: reference point based dominance for multiobjective metaheuristics. European Journal of Operational Research, 197, 685-692(2009).
[14] S N ERNÉ, H D HAHLBOHM, H SCHEER et al. The berlin magnetically shielded room (BMSR) section B:performances. Biomagnetism, 79, 87(1981).
[15] [15] 15潘征,李跃波,熊久良,等.低频脉冲磁场中磁屏蔽体磁饱和效应的试验研究[J].电波科学学报,2022,1-8. doi: 10.12265/j.cjors.2021130PANZ, LIY B, XIONGJ L, et al. Test study on magnetic sat-uration effect of magnetic shield in low-frequency pulsed magnetic field[J]. Chinese journal of radio science, 2022, 1-8. (in Chinese). doi: 10.12265/j.cjors.2021130
[16] [16] 16李玉凌, 何连杰, 郭安琪, 等. 多层金属板低频磁屏蔽效能的理论模型与特性分析[J]. 科学技术与工程, 2020, 20(16): 6490-6496. doi: 10.3969/j.issn.1671-1815.2020.16.028LIY L, HEL J, GUOA Q, et al. Theoretical model and characteristic analysis of low-frequency magnetic shielding effectiveness of multilayer metal plates[J]. Science Technology and Engineering, 2020, 20(16): 6490-6496.(in Chinese). doi: 10.3969/j.issn.1671-1815.2020.16.028
[17] [17] 17赵一阳. 基于磁滞模型的零磁装置性能分析[D]. 哈尔滨: 哈尔滨工业大学, 2019.ZHAOY Y. Performance Analysis of the Facility for Nearly Zero Magnetic Field Environment Baced on the Hysteresis Model[D]. Harbin: Harbin Institute of Technology, 2019. (in Chinese)
[18] S VERMA, M PANT, V SNASEL. A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems. IEEE Access, 57757-57791(9).
[19] [19] 19董骏峰, 王祥, 梁昌勇. 基于个体邻域的改进NSGA-Ⅱ算法[J]. 计算机工程与应用, 2019, 55(5): 166-174.DONGJ F, WANGX, LIANGC Y. Improved NSGA-Ⅱ algorithm based on individual neighborhood[J]. Computer Engineering and Applications, 2019, 55(5): 166-174.(in Chinese)
[20] M A J PAAVOLA, R J ILMONIEMI, L SOHLSTRÖM et al. High performance magnetically shielded room for clinical measurements, 87-90(2000).
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Songnan YANG, Xiaohui ZHANG, Yuanyuan LIU, Jinsheng ZHANG, Xiaoli XI. CSA-NSGAII algorithm for magnetically shielded room shield lamination optimization[J]. Optics and Precision Engineering, 2022, 30(14): 1749
Category: Information Sciences
Received: Apr. 20, 2022
Accepted: --
Published Online: Sep. 6, 2022
The Author Email: ZHANG Xiaohui (xhzhang@xaut.edu.cn)