Fully optimized multilayer radar absorber design using multi-objective abc algorithm

Year 2021, , 136 - 145, 15.10.2021

Enes Yiğit , Huseyin Duysak

https://doi.org/10.26833/ijeg.743661

Cited By: 2

Abstract

Main purpose of the design of multi-layer radar absorber (MRA) by means of metaheuristic optimization algorithms is to minimize both the total thickness (TT) of MRA and the maximum reflection coefficients for transverse electric (RTE) & transverse magnetic (RTM) polarizations at any oblique angle of incidence. For this purpose, sequence and thicknesses of layers of the MRA have been optimized by either single-objective approach based on combining all objectives or double-objective approach in which TT is evaluated separately from the reflection coefficients. In this study, triple-objective artificial bee colony (TO-ABC) algorithm integrated with Pareto front technique is proposed for fully optimized MRA design. Thus, both RTE, RTM and TT are simultaneously minimized by optimizing thickness, sequence and number of the layers. To demonstrate the superiority of TO-ABC, 3 types of MRAs operating at the frequency ranges of 2–18 GHz for each angle of incidence from 0⁰ to 60⁰ are optimized and compared with the literature. Furthermore, 4 different real MRAs are also optimized using real materials given in the literature. Thanks to the developed graphical user interface and TO-ABC algorithm, despite the limited number of materials, all possible solutions providing the specified parameters are easily achieved and successful MRA structures are designed.

Keywords

: Multi-objective optimization, Pareto front, Radar absorbing material (RAM), Triple objective ABC

References

• Asi M & Dib N I (2010). Design of multilayer microwave broadband absorbers using central force optimization. Progress in Electromagnetic Research, 26, 101–113.
• Deb K, Pratap A, Agarwal S & Meyarivan T (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6, 182–197. https://doi.org/10.1109/4235.996017
• Goudos S K (2009). Design of microwave broadband absorbers using a self‐adaptive differential evolution algorithm. International Journal of RF and Microwave Computer‐Aided Engineering, 19(3), 364–372.
• Goudos S K & Sahalos J N (2006a). Design of Broadband Radar Absorbing Materials using Particle Swarm Optimization, Proceedings of EMC Europe, 1111–1116.
• Goudos S K & Sahalos J N (2006b). Microwave absorber optimal design using multi‐objective particle swarm optimization. Microwave and Optical Technology Letters, 48, 1553–1558.
• Huo Y, Zhuang Y, Gu J & Ni S (2015). Elite-guided multi-objective artificial bee colony algorithm. Applied Soft Computing 32, 199–210. https://doi.org/https://doi.org/10.1016/j.asoc.2015.03.040
• Jiang L, Cui J, Shi L & Li X (2009). Pareto optimal design of multilayer microwave absorbers for wide-angle incidence using genetic algorithms. IET microwaves, antennas & Propagation, 3(4), 572–579.
• Karaboga D & Basturk B (2007). A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization, 39(3), 459–471.
• Kern D J & Werner D H (2003). A genetic algorithm approach to the design of ultra-thin electromagnetic bandgap absorbers. Microwave and Optical Technology Letters, 38, 61–64. https://doi.org/10.1002/mop.10971
• Michielssen E, Sajer J-M, Ranjithan S & Mittra R (1993). Design of lightweight, broad-band microwave absorbers using genetic algorithms. IEEE Transactions on Microwave Theory and Technology, 41(6), 1024–1031.
• Ranjan P, Choubey A & Mahto S K (2018). A novel approach for optimal design of multilayer wideband microwave absorber using wind driven optimization technique. AEU-International Journal of Electronics and Communications, 83, 81–87.
• Roy S, Mahanti A, Roy S D & Mahanti G K (2016). Comparison of Evolutionary Algorithms for Optimal Design of Broadband Multilayer Microwave Absorber for Normal and Oblique Incidence. Applied Computational Electromagnics Society Journal, 31(1).
• Roy S, Roy S D, Tewary J, Mahanti A & Mahanti G K (2015). Particle swarm optimization for optimal design of broadband multilayer microwave absorber for wide angle of incidence. Progress in Electromagnics Research, 62, 121–135.
• Toktas A, Ustun D & Tekbas M (2019). Multi-Objective Design of Multi-Layer Radar Absorber Using Surrogate-Based Optimization. IEEE Transations on Microwave Theory and Technology, 67, 3318–3329. https://doi.org/10.1109/TMTT.2019.2922600
• Toktas A, Ustun D, Yigit E, Sabanci K & Tekbas M (2018). Optimally Synthesizing Multilayer Radar Absorbing Material (RAM) Using Artificial Bee Colony Algorithm. Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED. IEEE, 237–241. https://doi.org/10.1109/DIPED.2018.8543261
• Weile D S, Michielssen E & Goldberg D E (1996). Genetic algorithm design of Pareto optimal broadband microwave absorbers. IEEE Transactions on Electromagnetic Compatibility, 38(3), 518–525.
• Yigit E & Duysak H (2019)a. Determination of Optimal Layer Sequence and Thickness for Broadband Multilayer Absorber Design Using Double-Stage Artificial Bee Colony Algorithm. IEEE Transactions on Microwave Theory and Techniques, 67(8), 3306–3317.
• Yigit E & Duysak H (2019)b. electrical_properties.xlsx. IEEE Transactions on Microwave Theory and Technology https://ieeexplore.ieee.org/abstract/document/8744403/media#media