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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2017-08-06
A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design
By
Daniele Pinchera,

    Dr. Daniele Pinchera

    DIEI University of Cassino and Southern Lazio

    Italy

    Homepage

Stefano Perna,

    Dr. Stefano Perna

    University Parthenope of Naples

    Italy

    Homepage

Marco Donald Migliore

    Dr. Marco Donald Migliore

    Dep. Electrical and Information Eng

    Univ. Cassino e Lazio Meridionale

    Italy

    Homepage

Progress In Electromagnetics Research M, Vol. 59, 85-102, 2017
doi:10.2528/PIERM17042106 | Google Scholar

Abstract
In this paper we focus on multi-objective optimization in electromagnetic problems with given priorities among the targets. The approach proposed in this paper is able to build a proper cost function capable to correctly implementing the design criteria and their priorities avoiding the evaluation of the Pareto front of the solutions, which is a very time consuming task required in the classic a-posteriori methods. The resulting function, named Quantized Lexicographic Weighted Sum (QLWS), can be used as cost function in a very large class of electromagnetic problems. In this paper we demonstrate its usefulness in two common situations in antenna array design: the synthesis of a sparse linear array and a sparse isophoric ring array.
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Citation
Daniele Pinchera, Stefano Perna, and Marco Donald Migliore, "A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design," Progress In Electromagnetics Research M, Vol. 59, 85-102, 2017.
doi:10.2528/PIERM17042106
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