Title :
Hybrid algorithms on antenna design
Author :
Quevedo-Teruel, Óscar ; Rajo-Iglesias, Eva ; Oropesa-García, Alicia
Author_Institution :
Univ. Carlos III de Madrid, Madrid
Abstract :
The purpose of this paper is to present hybrid algorithms made by mixing gradient and evolutive algorithms, as a solution to solve electromagnetic problems. Specifically, array synthesis has been chosen to show the functionality of these methods. In this work the discussion was focused on the comparison of the traditional evolutionary algorithm (based on the Darwinian theories), with the most common hybrid algorithms (inspired on Baldwin effect and Lamarckian evolution by Michaelewicz and Fogel, 2004) in some examples of array synthesis.
Keywords :
antenna arrays; antenna theory; evolutionary computation; gradient methods; Baldwin effect; Darwinian theory; Lamarckian evolution; antenna design; array synthesis; evolutionary algorithm; evolutive algorithm; gradient algorithm; hybrid algorithms; Algorithm design and analysis; Design optimization; Electromagnetic analysis; Equations; Evolution (biology); Evolutionary computation; Genetic mutations; MATLAB;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
DOI :
10.1109/APS.2007.4396403
