摘要
提出一种轨道均匀分布的混沌遗传优化算法。根据logistic映射概率密度分布,得到轨道均匀分布的反三角函数logistic映射。结合遗传算法,构造混合混沌算法。该算法在混沌优化区间等概率搜索子空间,克服了logistic映射优化算法对优化区间边缘进行大概率搜索的缺点,从而有效地提高搜索速度。仿真算例表明了该方法的可行性和反三角函数logistic映射的应用前景。
This paper presented one new track uniform distribution chaos genetic optimization algorithm. According to logistic map distribution probability density, presented one anti-trigonometric function logistic map that had uniform distribution. Com- bined with genetic algorithm, constructed a hybrid chaos optimization algorithm. It could search whole optimization interval by equal probability. It overcomed disadvantage that logistic map chaos optimization search optimization interval edge by greater probability. So it could improve searching speed. Simulation examples show the feasibility of the algorithm, as well as the practicability of anti-trigonometric function logistic map.
出处
《计算机应用研究》
CSCD
北大核心
2009年第4期1292-1293,共2页
Application Research of Computers
基金
航空基金资助项目(2007ZC53036)
关键词
混沌优化
逻辑映射
遗传算法
均匀分布
chaos optimization
logistic map
genetic algorithm
uniform distribution
