Title :
Utilizing Hopfield neural networks and an improved simulated annealing procedure for design optimization of electromagnetic devices
Author :
Mohammed, Osama A. ; Merchant, Rim S. ; Üler, Fuat G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fDate :
11/1/1993 12:00:00 AM
Abstract :
A new method for the design optimization of electromagnetic devices is presented. Improved simulated annealing (SA) is used along with the Hopfield neural network (HN) to optimize a solution obtained from a trained multilayered perceptron (MLP). This results in an overall increase in the speed of optimization. Results are presented for two examples which show the effectiveness of the proposed method in obtaining a near optimal solution
Keywords :
Hopfield neural nets; electrical engineering computing; electromagnetic devices; feedforward neural nets; simulated annealing; Hopfield neural networks; design optimization; electromagnetic devices; near optimal solution; simulated annealing procedure; speed of optimization; trained multilayered perceptron; Artificial neural networks; Computational modeling; Design optimization; Electromagnetic devices; Geometry; Hopfield neural networks; Neural networks; Neurons; Optimization methods; Simulated annealing;
Journal_Title :
Magnetics, IEEE Transactions on
