Based on the strict description of the structure and instances about the optimization problems,this paper proposes an approach to slove the design problem of optimization algorithm,which follows a path from algorithm framework to algorithm mode,and up to concrete algorithm.
论文在对最优化问题的结构和实例进行严格描述的基础上,提出一种沿算法框架、算法模式再到具体算法的路线来解决最优化算法设计问题的方法。
This paper gives the collectivity mode framework of swarm intelligence algorithm on the basis of its formalization definition, and describes the formalization of the algorithm mode in detail by taking particle s warm optimization as a specific case.
在对群体智能算法给出形式化定义的基础上 ,给出了群体智能算法的总体模式框图 ,并以微粒群优化算法实例进行了具体算法模式的形式化描述 。
The algorithm achieves the goal of amending signal phase distortion and convengence performance is optimizes by the comparision with dual-mode algorithm.
将仿真结果与双模式算法进行比较,显示出该算法性能优于双模式算法,能够达到对信号相位失真的恢复,并且收敛性能优于双模式算法。
The non-mode algorithm is an effective method to obtain the actual particle distribution.
提出将最速下降法、修正牛顿法和共轭梯度法作为无模式算法应用到激光粒度仪的数据处理中。
