Evolving agents for global optimization

Global Optimization using evolutionary computation (Ee) techniques can perform very well on some problems, but poorly on other problems in term of computational efficiency. In this paper, we propose an approach that integrate the concept of search agents wsh EC for global optimization. Simulations are given to show the effectiveness of such integrated approach in function optimization.