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A distributed PSOSVM hybrid system with feature selection and parameter optimization
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This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the clas
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粒子群算法在离散问题中的应用。这里主要是在TSP问题中的应用。-Discrete Particle Swarm Optimization Problems. Here the main problem in the application of TSP.
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离散微粒群优化算法解决流水线调度问题。包含多个有名算法：NEH，局部搜索算法等。-Discrete Particle Swarm Optimization algorithm to solve assembly line scheduling problem. Contains several well-known algorithms: NEH, local search algorithm.
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基于SVD的DCT域和DWT域的经典水印算法，该算法通过提取水印水印的主成分并把该主成分嵌入到奇异值矩阵，鲁邦性非常高。-the principal components of the watermark are embedded into the host image in discrete cosine transform (DCT) and for the second method, those are embedded into the host image in discrete
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离散二进制粒子群算法法 DPSO -DPSO
-Discrete binary particle swarm optimization method DPSO-DPSO
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离散二进制粒子群优化算法，非常热门的的新算法，给出几个函数实例，供大家参考
-Discrete binary particle swarm optimization algorithm, a very popular new algorithm, several instances of the function is given for your reference
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求解0-1二次规划的粒子群算法
先将离散的0-1变量约束转化成了不光滑方程的约束，再用磨光函数方法对其光滑化。最终，把原来的数学模型转化为可微的非线性规划问题。最后，粒子群优化算法求解-0-1 first discrete particle swarm algorithm for solving 0-1 quadratic programming variable constraint transformed into smooth equations and constraints, it
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Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO
to scheduling problems are extremely few.
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神经网络的经典应用，小波神经网络、离散神经网络、模糊神经网络、遗传算法、粒子群优化-Classic application of neural networks, wavelet neural network, discrete neural networks, fuzzy neural networks, genetic algorithms, particle swarm optimization
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In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach
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基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
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改进后的离散粒子群算法，支持多种寻优解决方案-The improved discrete particle swarm optimization (pso), support for multiple optimal solutions
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Discrete Particle Swarm Optimization (DPSO)
Algorithm for Permutation Flowshop Scheduling to
Minimize Makespan
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离散粒子群优化算法优化带时间窗的车辆路径问题-Discrete particle swarm optimization algorithm to optimize vehicle routing problem with time windows
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本MATLAB程序是基于离散粒子群算法的可中断负荷的优化计算-The MATLAB program is a discrete particle swarm optimization algorithm based on interruptible load calculation
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Discrete Particle Swarm Optimization for Web Services Composition based on QoS
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离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
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验证基于DPSO 算法的合作感知调度方案在各个LN 的网络特征不同
的异构CRNMLNS 中也能获得同样的性能(CRNMLNS, a cooperative sensing scheduling scheme based on discrete particle swarm optimization (DPSO) algorithm was proposed)
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离散的粒子群算法 是用 python写, 输入都是0和1(The discrete particle swarm optimization is written in Python, and the input is 0 and 1.)
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离散粒子群算法，改进的二值粒子群算法，可以正常运行(Discrete particle swarm optimization algorithm, improved binary particle swarm optimization algorithm)
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