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.
Modified NSGA-II algorithm for multiobjective optimization of compact high-efficiency square horns / E. Agastra; L. Lucci; R. Nesti; G. Pelosi; S. Selleri. - In: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING. - ISSN 1096-4290. - STAMPA. - 21:(2011), pp. 174-181. [10.1002/mmce.20501]
Modified NSGA-II algorithm for multiobjective optimization of compact high-efficiency square horns
PELOSI, GIUSEPPE;SELLERI, STEFANO
2011
Abstract
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.
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