搜索资源列表
QPSO
- 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
matlab
- 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
qpso
- qpso para que puedan descargarlo y chupenla feos qlos
QPSO
- 基于量子行为的粒子群算法，用于寻找粒子群的最优值-QPSO matlab
The-QPSO-
- QPSO量子粒子群算法,QPSO LSSVM,SVM-The QPSO quantum particle swarm optimization
cross-factor-pso-and-qpso
- 带交叉算子的量子粒子群优化算法和粒子群算法的matlab源程序.m-QPSO and PSO with crossover operator. MATLAB CODE
QPSO-
- 针对目前很少有将量子算法应用到天线方向图综合领域的问题, 研究了基于量子位概率幅编码机制的QPSO算法在天线方向图综合问题中的应用。-QPSO for real-coded side lobes and nulls control
shishu-QPSO
- 实数编码QPSO算法对多维非线性Rosenbrock函数进行优化求解结果-The QPSO algorithm of real-coded multi-dimensional nonlinear Rosenbrock function optimization solutions results
qpso
- qpso 粒子群与支持向量机相结合的建模算法，-the qpso particle swarm optimization and support vector machine combined modeling algorithm,
QPSO
- QPSO算法，这是一个结合了量子的粒子群算法，参数少，随机性较小。吸引了无数科研工作者的兴趣。本程序经过自己的加工与注解-QPSO algorithm, which is a combination of quantum particle swarm algorithm, fewer parameters, random small. Attracted many researchers interest. After this procedure has its own processing
QPSO
- QPSO算法,不会跑出定义域，依据一篇综述写的代码。-QPSO algorithm will not run out of the domain, based on a review to write code.
QPSO
- 量子粒子群的matlab程序，有测试函数-qpso matlab
QPSO
- qpso的源码和相关注释，QPSO算法的MATLAB源码，给需要的人，希望斑竹给加点技术分-Global convergence of the PSO algorithm can be used for the development of intelligent computing
QPSO
- 在量子智能算法中，量子粒子群程序的仿真，希望对大家有所帮助-The simulation of the QPSO in the quantum intelligence algorithm.
Qpso
- Qpso，适用于无功优化，经济调度，负荷预报-Qpso Algorithm
qpso-pid-pso-matlab-src
- pso-pid量子粒子群算法qpso的matlab代码以及pid控制器在matlab中的仿真程序-Pso- pid quantum particle swarm optimization (qpso matlab code and pid controller in matlab simulation program
BG-QPSO
- 基于细菌觅食的量子行为粒子群算法，已试验，可运行-Quantum Behavior Particle Swarm Optimization (QPSO) algorithm based on bacterial foraging has been tested and run
qpso
- 量子粒子群算法应用。对三个水听器的位置定位，在假设水听器位置已知情况下，以及其他方法估计得到的时延，通过量子粒子群算法计算，验证量子粒子群算法的计算精度。-Quantum particle swarm optimization application. Position location of the three hydrophones in the hydrophone position assumed known case, and other methods for estimating
QPSO
- QPSO算法，量子粒子群算法实例程序。用于优化神经网络权值阈值-Quot is the same as the number of users who are the same as the number of users who have the value
QPSO
- 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 use