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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN :
0-7803-8883-6
DOI :
10.1109/APS.2005.1551735
