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SFLA算法是解决组合性优化问题的算法。它是基于集合类方法的启发式研究，这种SFLA初始化于一群虚拟集合青蛙，在池塘中跳跃，搜寻最优的食物地点。青蛙们可以被看作是具有思维的的主体。一种思维可以被看作是一个思想的集合或是文化的进化。每一种思维都是由一系列策略构成。在这种策略进化期间，青蛙的思维也在发生改变，导致了他们在面向目标时方位的改变，这种思维的变化或改变的发生，正是因为青蛙受到其他更好思想的影响。-SFLA algorithm to solve portfolio optimization
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运用蛙跳算法解决TSP问题的IEEE英文文献,帮助学习算法改进-Solving TSP with Shuffled Frog-Leaping Algorithm
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一种基于Visual C++的混合蛙跳算法程序，希望对各位学习者提供一点帮助-Visual C++ based on the shuffled frog leaping algorithm program you want to provide learners with a little help
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manuscr ipt that describes a shuffled frog leaping algorithm and svm optimization for images recognition
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这是一个改进的SFLA（混合蛙跳算法），使用MATLAB 实现，代码简单并且实用，欢迎下载。-This is an improved the SFLA (shuffled frog leaping algorithm), using MATLAB to achieve, the code is simple and practical, welcome to download.
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混合蛙跳算法程序，采用1、若干次运行取最优
2、增加进化代数maxgen
3、加大种群规模popsize。三种方法来可有效克服随机初始化带来的局部极小问题-Shuffled frog leaping algorithm, using one, several runs to take the best two, increasing evolution algebra maxgen 3, to increase the population size popsize. Three way
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In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role
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research paper related to shuffled frog leaping algorithm for optimization problems in power system network, transmission , distribution area
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algorithm og shuffled frog leaping algorithm
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自己编写的
混洗蛙跳算法优化最小二乘支持向量机参数
把文件里的数据、LSSVM模型更换，就可以移植-written by Son.Y.M
Shuffled frog leaping algorithm to optimize the parameters of LS-SVM
The data in the file, LSSVM model replacement, you can transplant
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智能算法，混合蛙跳算法，一种模拟生物属性的寻优算法-The shuffled frog leaping algorithm
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this paper deals with insights of unequal clustering using Shuffled frog leaping algorithm
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SFGA 混合蛙跳算法 用c++语言实现-SFGA SFLA with c++ language
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This paper propose a Firefly algorithm (FA) for
optimal placement and sizing of distributed generation (DG) in
radial distribution system to minimize the total real power losses
and to improve the voltage profile. FA is a metaheuristic
algori
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matlab code for sfla
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Against path optimization problem for wireless sensor network, this paper proposes a
path optimization strategy for wireless sensor network based on improved shuffled frog leaping
algorithm. The shuffled frog leaping algorithm was used as wireles
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This code is a new method to Congestion Control Protocol and Clustering in Wireless Sensor Networks using Shuffled Frog Leaping Algorithm and Leaky Bucket Algorithm.
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蛙跳算法（SFLA）是一种全新的启发式群体进化算法，具有高效的计算性能和优良的全局搜索能力。对混合蛙跳算法的基本原理进行了阐述，针对算法局部更新策略引起的更新操作前后个体空间位置变化较大，降低收敛速度这一问题，提出了一种基于阈值选择策略的改进蛙跳算法。通过不满足阈值条件的个体分量不予更新的策略，减小了个体空间差异，从而改善了算法的性能。数值实验证明了该改进算法的有效性，并对改进算法的阈值参数进行了率定。(Leapfrog algorithm (SFLA) is a new heuristic p
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用C语言编程实现的混合蛙跳算法（SFLA）,该算法于2003年首次提出~！(The shuffled frog leaping algorithm with C language programming (SFLA), the algorithm is put forward for the first time in 2003!)
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