Title :
Antenna optimization using a hybrid evolutionary programming method
Author :
Damavandi, Nader ; Safavi-Naeini, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
The fundamentals of a hybridization approach for a class of EA called evolutionary programming (EP) that has recently been applied to circuit optimization problems is explained. Easier implementation and self-adaptation mechanism are some of the advantages of EP compared to other type EA such as the genetic algorithm (GA). However, the hybridization method explained in this paper is equivalently applicable to all other paradigms of EA.
Keywords :
antenna theory; evolutionary computation; self-adjusting systems; EA; antenna optimization; hybrid evolutionary programming; hybridization; self-adaptation mechanism; Algorithm design and analysis; Clustering algorithms; Clustering methods; Convergence; Design engineering; Evolutionary computation; Flowcharts; Genetic programming; Optimization methods; Stochastic processes;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN :
0-7803-8883-6
DOI :
10.1109/APS.2005.1551736
