Title :
A few results for using genetic algorithms in the design of electrical machines
Author :
Wurtz, F. ; Richomme, M. ; Bigeon, J. ; Sabonnadiere, J.C.
Author_Institution :
Lab. d´´Electrotech. de Grenoble, CNRS, St. Martin d´´Heres, France
fDate :
3/1/1997 12:00:00 AM
Abstract :
Genetic algorithms (GAs) seem to be attractive for the design of electrical machines but their main difficulty is in finding a configuration so that they are efficient. This paper exposes a criterion and a methodology which the authors have developed in order to find efficient configurations. The first configuration they obtained is then detailed. The results based on this configuration are detailed, together with an example of a design problem
Keywords :
design engineering; electric machines; genetic algorithms; machine theory; criterion; efficient configurations; electrical machine design; genetic algorithms; methodology; Algorithm design and analysis; Biological information theory; Constraint optimization; Design optimization; Encoding; Genetic algorithms; Genetic mutations; Optimal control; Probability; Testing;
Journal_Title :
Magnetics, IEEE Transactions on
