The Application of Particle Swarm Optimization Algorithm on Absorbent Materials

Abstract:

The thickness of multi-layer absorbing material is optimized to obtain lower electromagnetic reflection coefficient by using particle swarm optimization (PSO) algorithm in this paper. Two examples are employed to validate the excellent performance of PSO. The results show that the reflection coefficient of absorbing material is less than-20 dB over the bandwidth of 2GHz ~ 18GHz, less than-25 dB over the narrowband of 9 GHz ~ 11GHz, less than-30 dB during the bandwidth of 9.5 GHz~10.5 GHz. It also shows that the minimum value approaches to-48 dB in a certain range.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 1541-1545
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.1541
• Online since: November 2013
• Authors: Hong Quan Feng, Bing Heng Wu, Yuan Yun Liu, Yi Liao, Hao Gu, Xing Yu
• Keywords: Absorbing Material, Optimization Design, Particle Swarm Optimization Algorithm

References

[1] Dj.M. Maric, P.F. Meier and S.K. Estreicher: Mater. Sci. Forum Vol. 83-87 (1992), p.119 Kennedy J, Eberhart R C, Shi Yuhui．Swarm Intelligence．San Francisco, USA：Morgan Kaufmann Publishers, (2001).

[2] Kennedy J, Eberhart R C．Particle Swarm Optimization／Procof the IEEE International Conference on Neural Networks．Perth, Australia, 1995：1942—(1948).

[3] Y. Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D. Gupta Noyes Publications/William Andrew Publising, Norwich, NY (2004).

[4] G. Henkelman, G. Johannesson and H. Jónsson, in: Theoretical Methods in Condencsed Phase Chemistry, edited by S.D. Schwartz, volume 5 of Progress in Theoretical Chemistry and Physics, chapter, 10, Kluwer Academic Publishers (2000).

[5] R.J. Ong, J.T. Dawley and P.G. Clem: submitted to Journal of Materials Research (2003) Su Donglin, Qi Wanquan, Zhang Lu, Zhanyong, in：Evolutionary algorithm based on genetic inversion of electromagnetic parameters of absorbing structure.

[6] P.G. Clem, M. Rodriguez, J.A. Voigt and C.S. Ashley, U.S. Patent 6, 231, 666. (2001) Wang Zhong-chu, WU Xian, Javert, in：Multi-layer based on accelerating genetic algorithm to optimize the design of microwave absorbing materials.

[7] Information on http: /www. weld. labs. gov. cn Bi trillion, in：Multilayered containing magnetic metal fibers radar absorbing materials design.

[8] Chao Kun, Liu Yunlin, Yang Ru , in：Colony algorithm combines micro genetic algorithm to optimize the design multilayer radar absorbing coatings.

DOI: 10.1109/apmc.2005.1607112

[9] Wang Li will, Wang Zhengping, in：Right-hand man absorber material structure design and performance simulation.

[10] Yuan Jie <, Xiao Gang>, Cao Maosheng, in: Using Genetic Algorithms designed multi-layered Thin Radar Absorbing Materials program technology.

[11] Xiao Bao Huai, Lu Zhen expensive, off Yalin, in：Simulated annealing algorithm for hybrid structure absorbing material properties.

[12] Wu Shenghui, Ge D, Ding Shijing, Wei Bing, Wang Fei, in：Layered Absorbing Materials pSO optimized design.

[13] Wu Shenghui, Ge debiao, in：PSO algorithm design and optimization of absorbing concrete equivalent parameter extraction method.