Solving nonlinear constrained optimization problems by Invasive Weed Optimization using penalty function

This paper discusses the application of nature inspired optimization technique for nonlinear constrained optimization problems (NCPP). Here the technique of Invasive Weed Optimization Algorithm (IWO) is chosen with the Simulated Annealing penalty method. In Simulated Annealing penalty method, the penalty function increases with generation number as the infeasible solution is forced towards the feasible region. This paper has reported the capability of IWO with Simulated Annealing penalty method for six bench mark problems. The results demonstrate the superiority of the proposed method over the previously published results.