摘要
通过混合使用多种杂交算子并辅之以间歇变异,提出了一种求解高维复杂函数全局优化问题的新型演化算法。用该算法求解了维数为100到400不等的典型测试函数,获得了比其它算法更精确或更接近最优的解,表明了算法的有效性。
A new evolutionary algorithm based on hybrid crossovers and intermittent mutation for global optimization of complex functions with high dimensions is proposed.The proposed algorithm is used to optimize some complex bench-mark problems with100to400dimensions and can find more accurate or closer-to-optimal solutions than other evolu-tionary algorithms.This shows the effectiveness of the proposed algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第6期8-10,共3页
Computer Engineering and Applications
基金
广东省自然科学基金(编号:011626)项目资助
