Elliptical Slot Microstrip Patch Antenna Design Based on a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm

Autor:	Caie Hu, Jawdat S. Alkasassbeh, Zhigao Zeng, Rangzhong Wu, Sanyou Zeng
Rok vydání:	2021
Předmět:	Human-Computer Interaction Mathematical optimization Artificial Intelligence Computer science Evolutionary algorithm Microstrip patch antenna Multi-objective optimization Software Computer Science::Information Theory
Zdroj:	International Journal of Cognitive Informatics and Natural Intelligence. 15:1-15
ISSN:	1557-3966 1557-3958
DOI:	10.4018/ijcini.20211001.oa30
Popis:	Most evolutionary optimization algorithms have already been used for antenna design and shown promising results on improving the performance of the antenna. However, for many real-world antenna optimization problems, they are difficult to solve in that there are highly constrained and multimodal difficulty. These difficulties impede the development of antenna design. In this paper, an elliptical slot microstrip patch antenna design with these difficulties is modeled as a constrained optimization problem (COP). To address the problem, a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm(DCMOEA) is used. The experimental results show that the optimum antenna with satisfying the design requirement is obtained, and as well as we find the radiation patch should be a whole ellipse instead of subtracting with two ellipses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ada1665a651d582168cef12b8dfe11a7 https://doi.org/10.4018/ijcini.20211001.oa30 Zobrazit plný text záznamu