Title :
Some aspects of niching genetic algorithms applied to electromagnetic device optimization
Author :
Gallardo, Antonio ; Lowther, David A.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
fDate :
7/1/2000 12:00:00 AM
Abstract :
Niching genetic algorithms can allow a breadth first search of the design space. Ideally, they can present the designer with several alternate designs allowing a much better appreciation of the optima found. The algorithm is also naturally parallel. The paper discusses the basic concepts and the effects of the various parameters in the algorithm
Keywords :
electromagnetic devices; genetic algorithms; tree searching; breadth first search; design space; device optimization; electromagnetic devices; naturally parallel algorithm; niching genetic algorithms; optima; Algorithm design and analysis; Cost function; Design engineering; Design optimization; Electromagnetic devices; Encoding; Genetic algorithms; Optimization methods; Space exploration; Stochastic systems;
Journal_Title :
Magnetics, IEEE Transactions on
