Maximum Entropy Differential Evolution Algorithm to a Class of Nonlinear Minimax Problems

Concerning the fact that the objective function of a class of nonlinear minimax problems is non-smooth caused difficulty in solving this problem, a new algorithm was proposed. This algorithm used differential evolution algorithm with maximum entropy function method. Firstly, the maximum entropy function was used to transform the minimax problems into unconstrained differentiable optimization problem, then using the differential evolution algorithm to solve this problem. The numerical results show that the algorithm converges faster and has numerical stability, and it is an effective algorithm for nonlinear minimax problems.
differential evolution algorithm nonlinear minimax problems maximum-entropy method
Haixia CHEN Tiegui YANG
Department of basic education, Zhengzhou Occupation Technology College, Zhengzhou 450121,China
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
296-299
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)