蛙跳算法
- 网络Shuffled Frog Leaping Algorithm
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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
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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
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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
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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 ) .
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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
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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
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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
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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
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 ) .
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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 .