Hybrid Information Fashion Algorithm Based on Catastrophic Strategy

To address the premature convergence in the searching process of information fashion algorithm (IFA), a hybrid information fashion algorithm based on catastrophic strategy (CHIFA) is proposed in this paper. The new  method applies the idea of  a cusp catastrophic model and strategy which  increase suddenly the threshold value probability  and  make use of stochastic orderly logistic sequence to guide the mutation of agents for creation of powerful life individual assisting to jump out of the local optimum point. Experiments on optimization of unimodal and multimodal benchmark functions show that, CHIFA converges faster, results in better optima , is more robust, and prevents more effectively the premature convergence.