Title :
GA optimization in electrical devices
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. Practical issues relating to the implementation of the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained.
Keywords :
convergence of numerical methods; electrical engineering; electromagnetic devices; genetic algorithms; electrical devices design; electromagnetic devices; genetic algorithms; genetic optimization; premature convergence; Biological cells; Convergence; Design optimization; Electromagnetic devices; Genetic algorithms; Genetic mutations; Guidelines; Reflective binary codes; Search methods; Stochastic processes;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1997. IEEE., 1997 Digest
Conference_Location :
Montreal, Quebec, Canada
Print_ISBN :
0-7803-4178-3
DOI :
10.1109/APS.1997.631503
