摘要
在传统的遗传算法中,不合适的的参数设置会降低解的质量,于是在解决一些优化问题时传统的遗传算法被分布估计算法所取代.将分布估计算法按其复杂性归纳成几种模型,分别描述了它们的实现方法和求解问题的能力和效率.
In conventional Genetic Algorithms,inappropriate parameters setting may decrease the quality of the solutions.Conventional algorithms are thus replaced by Estimation of Distribution Algorithms(EDAs) in solving optimization problems.They are classified according to the complexity of the models used.Each class of the new algorithms are briefly described and the computing methods and their performance are dicussed.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2005年第S2期125-128,共4页
Journal of Wuhan University:Natural Science Edition
