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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.