Inductor design aid employing genetic algorithms

Author:

Fivaz Jean,Cronje Willie A.

Abstract

Recognizing the need and the room for improvement in computer aided engineering (CAE), evolutionary programming and, more specifically, genetic algorithms are used together with an expert system in a hybrid approach to inductor design. The genetic algorithm is used to derive design suggestions and the expert system for the appropriate testing and evaluation of these suggestions. In addition to functional manufacturing constraints, other optimization goals can be added.

Publisher

Emerald

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications

Reference14 articles.

1. Bäck, T. (1996), Evolutionary Algorithms in Theory and Practice, Oxford University Press.

2. Dengiz, B., Altiparmak, F. and Smith, A.E. (1997), “Local search genetic algorithms for optimal design of reliable networks”, IEEE Transactions on Evolutionary Computation, September, Vol. 1 No. 3.

3. Fogel, D.B. (2000), Evolutionary Computation. Toward a New Philosophy of Machine Intelligence, IEEE Press, Piscataway, NJ.

4. Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison‐Wesley, Reading, MA.

5. Goonatilake, S. and Khebbal, S. (1995), Intelligent Hybrid Systems, John Wiley, New York, NY.

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