An improved algorithm of chaos optimization

A fast convergent chaos optimization algorithm, which improves the traditional chaos optimization algorithm, is proposed based on the ergodic and stochastic properties of the chaos variables. The optimal point set is set up to continually reduce the searching space of variable and enhance the searching precision in the algorithm improved, so the global optimal solution can be obtained efficiently. This improved algorithm is more effective in complex optimization problems, such as multivariable and larger-scale global optimization problems, and this algorithm has the property of global convergence. Simulation results demonstrate the simpleness, convenience and effectiveness of the algorithm proposed.