摘要
作为一种新颖的基于概率模型的进化算法,近年来分布估计算法(EDA)得到了广泛的研究和发展.在介绍分布估计算法原理和特点的基础上,重点综述了近些年分布估计算法的研究进展,包括改进概率模型、保持种群多样性以及设计混合算法,进而总结了分布估计算法在理论及应用方面的研究现状,最后提出了有待进一步研究的若干方向和内容.
As a novel probabilistic model based evolutionary algorithm, estimation of distribution algorithm（EDA） has gained wide study and development during recent years. After introducing the mechanism and features of EDA, the research advances in EDA during recent years are surveyed in detail, including improving the probabilistic model, maintaining the diversity of population and designing the hybrid algorithms. Moreover, the state of the art about the study on EDA in terms of theory and application is investigated. Finally, some future research direction and content are proposed.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第7期961-966,974,共7页
Control and Decision
基金
国家自然科学基金项目(61174189
60834004)
高等学校博士学科点专项科研基金项目(20100002110014)
关键词
分布估计算法
概率模型
进化计算
estimation of distribution algorithm
probabilistic model
evolutionary computation
