genetic algorithms for numerical optimization problems. In this paper we review these methods, test them on ve selected problems, and discuss their strengths and weaknesses. We provide also some suggestions for further research.
Abstract
During the last two years several methods have been proposed for handling constraints by genetic algorithms for numerical optimization problems. In this paper we review these methods, test them on ve selected problems, and discuss their strengths and weaknesses. We provide also some suggestions for further research.