Evolutionary programming: an efficient alternative to genetic algorithms for electromagnetic optimization problems

Author

Chellapilla, K. ; Hoorfar, A.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA

Volume

1

fYear

1998

fDate

21-26 June 1998

Firstpage

42

Abstract

Evolutionary algorithms, such as genetic algorithms (GAs), evolutionary programming (EP), and evolutionary strategies (ES) have received much attention for global optimization of electromagnetic problems. The capabilities of EP are demonstrated and contrasted with those obtained using GAs on three challenging electromagnetic optimization problems, namely, the design of optimally thinned linear arrays, periodic arrays and Yagi-Uda antennas.

Keywords

Yagi antenna arrays; evolutionary computation; linear antenna arrays; microstrip antenna arrays; optimisation; Yagi-Uda antennas; antenna arrays design; electromagnetic optimization problems; evolutionary algorithms; evolutionary programming; genetic algorithms; global optimization; optimally thinned linear arrays; periodic arrays; Costs; Genetic algorithms; Genetic programming; Linear antenna arrays; Robustness; Turning; Vectors; Yagi-Uda antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1998. IEEE

Conference_Location

Atlanta, GA, USA

Print_ISBN

0-7803-4478-2

Type

conf

DOI

10.1109/APS.1998.698753

Filename

698753