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Genetic Algorithms in Optimization and Computer Aided Design

Reza Farshadnia
 
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ABSTRACT

Developments in computational models of evolutionary processes have led to the realization of powerful, robust and general optimization and adaptive systems collectively called evolutionary algorithms. In this paper, we consider one member of this class of algorithms, the genetic algorithm and describe the features and characteristics that are particularly appropriate for application in control systems engineering. The versatility and robust qualities of the algorithm are considered and a number of application areas described. Some prospespective future directions are also identified.
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  How to cite this article:

Reza Farshadnia , 2001. Genetic Algorithms in Optimization and Computer Aided Design. Journal of Applied Sciences, 1: 289-294.

DOI: 10.3923/jas.2001.289.294

URL: https://scialert.net/abstract/?doi=jas.2001.289.294

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