Complex-valued genetic algorithm for function optimization

The genetic algorithms (GAs) can be used as a global optimization tool for continuous and discrete functions problems. However, a simple GA may suffer from premature and can´t find the global minimum value. In this study complex number encoded mode was introduced to GA in order to expand the search region and avoid getting into the local minimum. Experiment results showed that it was useful for function optimization.