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Description: qpso量子粒子群
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Size: 716 |
Author: lorexiao |
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Description: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值。-Quantum particle swarm optimization algorithm, using matlab programming, can be optimized for fast multi-dimensional functions, not easily trapped into local optimal values.
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Size: 1024 |
Author: 李志远 |
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Description: 本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性-This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method
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Size: 13312 |
Author: 李慧 |
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Description: 量子粒子群算法 mathlab,专门使用量子理论来提高粒子群算法的效率，经实验表明，运算准确性和效率有很大提升-Quantum Particle Swarm Optimization mathlab, specifically the use of quantum theory to improve the efficiency of particle swarm optimization, the experiments show that the accuracy and efficiency of computing has a great upgrade
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Size: 4096 |
Author: jason |
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Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO.
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Size: 1024 |
Author: liang |
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Description: 自编的量子粒子群算法，基于C++，供学习者参考-Own quantum particle swarm optimization, based on the C++, for learner reference
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Size: 126976 |
Author: zangtianlei |
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Description: 量子粒子群算法的matlab实现，有程序说明-Quantum particle swarm optimization algorithm matlab implementation, there is description of the procedures
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Size: 1024 |
Author: logor |
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Description: QoS路由组播问题的QPSO（Quantum-behaved Paricle Swarm Optimization）算法 量子粒子群优化算法 可应用于路由组播模型等-Quantum-behaved Paricle Swarm Optimization Algorithms based on Multicast Routing Issues
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Size: 15360 |
Author: 索 |
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Description: 基于量子行为的粒子群算法的MATLAB的源程序，已测试可以用-Based on the quantum behavior of particle swarm optimization MATLAB source, have been tested can be! !
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Size: 1024 |
Author: 吴涛 |
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Description: 量子粒子智能群算法
QPSO
matlab程序源码-Quantum Particle Swarm Intelligence
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Size: 2048 |
Author: wang |
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Description: 采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
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Size: 2089984 |
Author: 亮仔 |
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Description: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
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Size: 1024 |
Author: 王兰彬 |
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Description: 采用matlab语言描述的量子粒子群算法，并附有一些测试函数-Using matlab language to describe the quantum particle swarm algorithm, along with some test function
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Size: 3072 |
Author: mali |
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Description: 探讨了经典的粒子群优化算法，在此基础上，提出了量子粒子群算法（QPSO），该算法具有高效的全局搜索能力-Of the classical particle swarm optimization, on this basis, proposed a quantum particle swarm optimization (QPSO), the algorithm is efficient global search capability
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Size: 3072 |
Author: 陈颖 |
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Description: matlab编程的量子粒子群算法!!!!!!!!(QPSO by MATLAB!!!!!!)
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Size: 3072 |
Author: x33
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Description: 量子粒子群优化算法以量子力学原理为基础，用波函数描述粒子的运动状 态，通过测量操作引导粒子搜索全局最优解。量子系统的不确定性决定了粒子能够以一定的概率出现在整个可行域内，克服了粒子群优化算法因为粒子速度的限制， 使粒子只能限定在某个局部区域的问题。(Quantum particle swarm optimization (QPSO) algorithm is based on the principle of quantum mechanics. The wave function is used to describe the motion state of particles, and the particles are searched for global optimal solution by measuring operation. The quantum system is decided by the uncertainties of particles with a certain probability in the whole feasible region, to overcome the particle swarm optimization algorithm for particle speed limit, so that the particles can only be limited in a local region of the problem.)
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Size: 1024 |
Author: 舒逸流风
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Description: 量子粒子群算法：因为粒子的位置和速度在量子空间中不能一起确定，所以用波函数表示粒子位置，通过蒙特卡罗方法求出粒子位置。gbest求解通过平均最好位置mbest得到。mbest是所有个体平均最优，通过它来求解粒子出现在相对点的位置，用L表示。而粒子的势表示位置的最终值，与L直接相关。(Quantum particle swarm optimization (QPSO): because the position and velocity of the particle can not be determined together in the quantum space, the position of the particle is expressed by the wave function, and the particle position is obtained by the Monte Carlo method. The gbest solution is obtained through the average best position of mbest. Mbest is the average optimum of all individuals, and it is used to solve the location of particles appearing at relative points, and it is expressed by L. And the particle potential indicates the final value of location, which is directly related to L.)
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Size: 1024 |
Author: 加加加 |
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Description: 适用量子粒子群算法获得所需的最优值，可以依概率收敛到全局最优，能有效求解复杂优化问题(Quantum Particle Swarm Optimization (QPSO) can be applied to obtain the desired optimal value, which can converge to the global optimum according to probability, and can effectively solve complex optimization problems.)
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Size: 1024 |
Author: dw dw dw dw |
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Description: 改进量子粒子群算法，用于优化支持向量机参数，用IRIS数据验证(An improved quantum particle swarm optimization (QPSO) algorithm is used to optimize the parameters of support vector machine (SVM), which is validated by IRIS data.)
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Size: 13312 |
Author: dw dw dw dw |
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Description: matlab下的量子粒子群算法源代码，添加算例即可运行(Source code of quantum particle swarm optimization in MATLAB)
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Size: 7248896 |
Author: dramaticcc |
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