摘要
提出了一类新差分进化算法范式,其核心内容是提出了一种基于动态邻居搜索的进化模式,平衡局部和全局搜索之间的矛盾,同时探讨了种群拓扑结构对其通讯和信息继承和扩散的影响,用基于该范式的一种具体算法对8经典测试函数进行了实验。仿真结果表明,与传统的差分进化算法相比较,该算法的求解质量、稳定性及其速度等方面均具有明显的优势。
A novel differential evolution model has been proposed,the key is the new evolution strategy based on neighbor search is constructed, which balances the contradiction of local and global search, and population topological structure influence on the communication, information inheriting and diffusing has also been discussed.Finally, a specific differential evolution derived from novel modal has been designed,compared with the original DE,the simulation results on 8 classical benchmark functions demonstrates that the proposed algorithm has obvious advantages in the solution-quality,stability and speed.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第6期5-7,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.60873017~~
关键词
差分进化算法
邻居搜索
拓扑结构
稳定性
differential evolution
neighbor search
topological structure
stability
