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Article type: Research Article
Authors: Moreno, Sinvaldo R.a | Klein, Carlos E.b | Mariani, Viviana C.a; c | Coelho, Leandro dos S.a; b | Alotto, Piergiorgiod; | Torchio, Riccardod | Bauernfeind, Thomase | Baumgartner, Paule
Affiliations: [a] Department of Electrical Engineering, Federal University of Paraná, Curitiba, Brazil | [b] Ind. Systems Engineering Graduate Program, Pontifical Catholic University of Paraná, Curitiba, Brazil | [c] Department of Mechanical Engineering, Pontifical Catholic University of Paraná, Curitiba, Brazil | [d] Dipartimento di Ingegneria Industriale, Università degli Studi di Padova, Padova, Italy | [e] Graz University of Technology, Institute of Fundamentals and Theory in Electrical Engineering, Graz, Austria
Correspondence: [*] Corresponding author: Piergiorgio Alotto, Dipartimento di Ingegneria Industriale, Università degli Studi di Padova, Padova, Italy. E-mail: [email protected]
Abstract: This paper presents the application of the Partial Element Equivalent Circuit (PEEC) approach, which is a full wave electromagnetic modelling technique for conductors embedded in arbitrary dielectrics based on equivalent circuits, to the optimal design of antennas with non-uniform spacing between the array elements. The design optimization problem is solved by means of the new nature-inspired Cheetah metaheuristic. The main aim of this paper is to introduce the Cheetah optimization algorithm to the electromagnetics and antenna community. The results are compared to two well-known optimization algorithms and to show the effectiveness of the proposed algorithm on a realistic benchmark problem.
Keywords: Antenna array, Cheetah optimization algorithm, genetic algorithm, partial element equivalent circuit, particle swarm optimization algorithm
DOI: 10.3233/JAE-191102
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 60, no. S1, pp. S15-S24, 2019
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