DocumentCode :
444817
Title :
A new hybrid evolutionary algorithm for high dimension electromagnetic problems
Author :
Grimaldi, E. Alfassio ; Gandelli, A. ; Grimaccia, F. ; Mussetta, M. ; Zich, R.E.
Author_Institution :
Dipt. di Elettrotecnica, Politecnico di Milano, Italy
Volume :
2A
fYear :
2005
fDate :
3-8 July 2005
Firstpage :
61
Abstract :
In this paper the authors present a new hybrid evolutionary algorithm, particularly suitable for high dimension electromagnetic problems. This method, called GSO, genetical swarm optimization, essentially combines the features of other two well known evolutionary algorithms, the genetic algorithms and particle swarm optimization.
Keywords :
computational electromagnetics; genetic algorithms; particle swarm optimisation; GSO; genetic algorithms; genetical swarm optimization; high dimension electromagnetic problems; hybrid evolutionary algorithm; particle swarm optimization; Convergence; Design engineering; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; Particle swarm optimization; Performance evaluation; Search methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN :
0-7803-8883-6
Type :
conf
DOI :
10.1109/APS.2005.1551735
Filename :
1551735
Link To Document :
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