Title :
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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1998. IEEE
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7803-4478-2
DOI :
10.1109/APS.1998.698753
