An Enhanced Hybrid Chaotic Algorithm using Cyclic Coordinate Search and Gradient Techniques

In this paper, we present a hybrid chaotic algorithm using a chaotic enhanced cyclical search along each axis and the BFGS method for optimizing nonlinear functions. The proposed method is a powerful optimization technique; this is demonstrated when four nonlinear benchmark functions with 30 dimensions are minimized using the proposed technique. Using this methodology we are able to find a better and faster solution than the traditional chaos optimization algorithm and other competitive techniques.