Title :
Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna
Author :
Robinson, Jacob ; Sinton, Seelig ; Rahmat-Samii, Yahya
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
Genetic algorithms (GA) have proven to be a useful method of optimization for difficult and discontinuous multidimensional engineering problems. A new method of optimization, particle swarm optimization (PSO), is able to accomplish the same goal as GA optimization in a new and faster way. The purpose of this paper is to investigate the foundations and performance of the two algorithms when applied to the design of a profiled corrugated horn antenna. Also investigated is the possibility of hybridizing the two algorithms.
Keywords :
genetic algorithms; horn antennas; PSO-GA hybrid; discontinuous multidimensional engineering problems; evolutionary optimizer; genetic algorithm; hybrid algorithm; particle swarm optimization; profiled corrugated horn antenna; Acceleration; Algorithm design and analysis; Genetic algorithms; Genetic engineering; Horn antennas; Jacobian matrices; Multidimensional systems; Optimization methods; Particle swarm optimization; Teeth;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN :
0-7803-7330-8
DOI :
10.1109/APS.2002.1016311
