蛙跳算法

求解考试时间安排问题的离散蛙跳算法

Discrete shuffled frog leaping algorithm for examination timetabling problem

求解复杂函数优化问题的混合蛙跳算法

Shuffled frog leaping algorithm for solving complex functions

使用面向离散搜索空间的蛙跳算法求解TSP

Using discrete search space-oriented leaping frog algorithm to solve TSP

该算法由Sobol序列、改进混合蛙跳算法和二次序列规划方法结合而成。

The algorithm consists of the Sobol sequences , the improved hybrid leapfrog algorithm ( ISFLA ), and sequential quadratic programming ( SQP ) .

基于二值图像的线检测法&蛙跳算法

Algorithm of line detecting based on binary image & frog jumping

含风电场电力系统动态优化潮流的混合蛙跳算法

SFL Algorithm Based Dynamic Optimal Power Flow in Wind Power Integrated System

基于改进蛙跳算法的盲均衡技术研究

Study of Blind Equalization Technology based on Modified Shuffled Frog Leaping Algorithm

混合蛙跳算法和投影寻踪模型的洪水分类研究

Study on Flood Classification Based on Shuffled Frog Leaping Algorithm and Projection Pursuit Model

混合蛙跳算法是一种模拟青蛙觅食行为的智能优化算法，具有参数少，鲁棒性强，简单易于理解等特点。

This algorithm with a few parameters is robust , simple and easy to understand .

提出了一种带收缩因子的混合蛙跳算法。

The Shuffled Frog Leaping Algorithm with a Contraction Factor ( SFLACF ) is proposed .

对应用混洗蛙跳算法解决机组组合优化问题进行了探索研究。

The exploring research for applying shuffled frog-leaping algorithm to resolve the unit combinatorial optimization is carried out .

实验结果表明，改进的混合蛙跳算法对复杂函数优化问题具有较强的求解能力。

The experimental results show that the improved SFLA has a better capability to solve complex functions than other algorithms .

但是支持向量机对核函数类型并不敏感，因此核参数成为研究的关键因素，在介绍了几种常见核参数优化方法的基础上，提出了一种基于混合蛙跳算法的参数优化方法。

Several common optimizing methods of kernel parameters were described , then a parameter optimizing method based on shuffled frog leaping algorithm was proposed .

描述了0／1背包问题的数学模型，阐述了混合蛙跳算法的基本理论。

This paper describes the0 / 1 knapsack problem , a mathematical model , and explains the basic theory of shuffled frog leaping algorithm .

但是当机组台数较多时，混洗蛙跳算法的计算时间明显比递归回溯方法缩短。

But when the number of unit is larger , the calculating time for shuffled frog-leaping algorithm is shorter than that of recursive backtracking method .

另外，模型中的参数通过一种进化算法&混合蛙跳算法优化确定，实验结果验证了算法的可行性与有效性。

Furthermore , we determine the regression coefficients optimally using a population evolutionary algorithm . Experimental results demonstrate the feasibility and effectiveness of the algorithm .

混合蛙跳算法是一种全新的基于群体智能的后启发式计算技术，具有高效的计算性能和优良的全局搜索能力。

The shuffled frog leaping algorithm is a new post based on swarm intelligence heuristic computing technology , a highly efficient computing performance and good global search capability .

然后将量子算法与混合蛙跳算法相结合，提出了量子蛙跳算法。

Certainly , the effectiveness has also been strengthened . Then , combined with the quantum algorithm and shuffled frog leaping algorithm , the quantum leapfrog algorithm is proposed .

通过对平台特性和构建虚拟实验网需求的分析，设计了基于蛙跳算法的虚拟实验网映射方案。

With analysis of the characteristics and the requirement of virtual network construction in virtual experiment platform , the thesis proposed virtual experiment network embedding scheme based on shuffled frog leaping algorithm ( SFLA ) .

利用基于混合蛙跳算法的参数优化方法选取最优的参数组合，提高模型的精度。（5）水资源是制约民勤绿洲发展的主要因素。

In addition , the best combination of parameters was selected by the parameter optimizing method based on shuffled frog leaping algorithm . The accuracy of the model was improved . ( 5 ) Water resources were the major constraint factor for the development of Minqin oasis .