Solving nonlinear minimax problems based on chaos gravitational search algorithm
非线性极大极小问题的混沌万有引力搜索算法求解*

Considering the character of the non-differentiation of objective function in nonlinear minimax problems,proposed achaos gravitational search algorithm.Used an optimization mechanism based on the law of gravitation to search the global optimal solution. Based on the randomicity, ergodicity and regularity properties of chaos,fine search was carried out by chaos optimization, which could avoid the premature convergence and improve the optimal performance. The simulation results show that the method has the advantages of high computing precision and good numerical stability.