Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints

During the last two years several methods have been proposed for handling nonlinear constraints by genetic algorithms for numerical optimization problems; most of them were based on penalty functions. However, the performance of these methods is highly problem-dependent; moreover, many methods require additional tuning of several parameters. We present a new optimization system (Genocop III), which is based on concepts of co-evolution and repair algorithms. We present the results of the system on a few selected test problems and discuss some directions for further research