基于多目标ABC算法的多层雷达吸波器全优化设计

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2020-12-22 DOI:10.26833/IJEG.743661
E. Yiğit, Huseyin Duysak
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引用次数: 2

摘要

利用元启发式优化算法设计多层雷达吸波器(MRA)的主要目的是使MRA的总厚度(TT)和横向电极化(RTE)和横向磁极化(RTM)在任意斜入射角下的最大反射系数最小。为此,MRA的层序和厚度通过结合所有目标的单目标方法或将TT与反射系数分开评估的双目标方法进行优化。本文提出了一种结合Pareto前沿技术的三目标人工蜂群(TO-ABC)算法,用于MRA的全优化设计。因此,通过优化层厚、层序和层数,可以同时最小化RTE、RTM和TT。为了证明To - abc的优越性,在0⁰到60⁰的每个入射角下,对3种工作在2-18 GHz频率范围内的mra进行了优化并与文献进行了比较。此外,还利用文献中给出的真实材料对4种不同的真实mra进行了优化。由于开发了图形用户界面和to - abc算法,尽管材料数量有限,但提供指定参数的所有可能解决方案都很容易实现,并设计了成功的MRA结构。
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FULLY OPTIMIZED MULTILAYER RADAR ABSORBER DESIGN USING MULTI-OBJECTIVE ABC ALGORITHM
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.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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