Modified NSGA‐II algorithm for multiobjective optimization of compact high‐efficiency square horns | Zendy

Agastra Elson | Zendy; Lucci Leonardo | Zendy; Nesti Renzo | Zendy; Pelosi Giuseppe | Zendy; Selleri Stefano | Zendy

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Modified NSGA‐II algorithm for multiobjective optimization of compact high‐efficiency square horns

Author(s) -

Agastra Elson,

Lucci Leonardo,

Nesti Renzo,

Pelosi Giuseppe,

Selleri Stefano

Publication year - 2011

Publication title -

international journal of rf and microwave computer‐aided engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.335

H-Index - 39

eISSN - 1099-047X

pISSN - 1096-4290

DOI - 10.1002/mmce.20501

Subject(s) - square (algebra) , mathematical optimization , multi objective optimization , algorithm , mathematics , computer science , geometry

High efficiency, compactness, light weight and low return loss are of high importance in antennas, especially in space applications. In this contribution a modified nondominated sorting genetic algorithm (NSGA‐II) is applied to the design of Horn antennas for discrete lens applications to achieve a Pareto‐optimal solution. Horn design is aimed not only towards higher possible efficiency but also towards large band and compactness. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011.

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