【摘要】 差分进化算法是一类当前较有实力的实参随机优化算法,已成功解决很多实际问题.由于算法结构简单易于执行,控制参数少且有较强的搜索能力,差分进化算法吸引了众多进化算法学者的关注.本文概述了差分进化算法的基本概念,综述了差分进化算法的主要变体,讨论它们的优缺点,并指出下一步的改进方向.更多还原

【Abstract】 Differential evolution(DE)has emerged as a powerful stochastic real-parameter optimization algorithm,which has been successfully applied to many real-life applications.Due to its simple structure,easy implementation,few control parameters and powerful search capability,DE has drawn increasing attention from the evolutionary computation community.This paper presents a comprehensive review of the notations and terminologies of DE and an elaborate survey of its major variants.Further,the advantages and disadvantages of the DE variants are detailed addressed,while some potential issues for further research on DE are also discussed.更多还原