Description: 基于matlab的基本粒子群优化算法，可应用与最优潮流计算等-Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation Platform: |
Size: 2048 |
Author:milan |
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Description: the source code for particle swarm optimization algorithm is given in this file. the source code is for economic dispatch problem which is a power system problem. Platform: |
Size: 12288 |
Author:sathish |
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Description: 多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results. Platform: |
Size: 6144 |
Author:廖志 |
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Description: 权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力-Weight improved particle swarm algorithm in the adaptive weighting method to balance the global exploration of the PSO algorithm is improved capacity and capacity of local Platform: |
Size: 1024 |
Author:李峰 |
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Description: 权重改进粒子群算法中的随机权重法，将标准PSO算法中设定w为服从某种随机分布的随机数，这样一定程度上可从两方面克服w的线性递减所带来的不足-Weights improved particle swarm algorithm in the random weight method, the standard PSO algorithm to set w to obey a random distribution of the random numbers, so to a certain extent can be reduced in two ways to overcome the linear w arising from lack of Platform: |
Size: 1024 |
Author:李峰 |
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Description: 自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。-Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems. Platform: |
Size: 5120 |
Author:陈波 |
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Description: 阐述了粒子群算法的基本原理,探讨了在MATLAB环境中实现粒子群算法的编程方法,构建粒子群算法工具箱函数,通过仿真示例验证了该方法的有效性,表明它能够对函数进行全局优化。-Describes the basic principles of particle swarm algorithm discussed in the MATLAB environment to achieve particle swarm programming, particle swarm optimization toolbox function constructed by example illustrates the effectiveness of the method, that it can function for global optimization . Platform: |
Size: 212992 |
Author:王彤 |
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Description: 为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and with the classical dynamic programming graph search based on Dijkstra' s algorithm to compare Liv e Wire. Platform: |
Size: 318464 |
Author:莉 |
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Description: 是粒子群算法的MATLAB源程序，可以在matlab中运行-Is the source of the particle swarm algorithm in MATLAB, you can run in matlab Platform: |
Size: 1623040 |
Author:黄敏 |
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Description: 模拟退火粒子群算法在matlab中应用，很实用，很好用-Simulated annealing particle swarm algorithm in matlab applications, very practical, very good with Platform: |
Size: 1024 |
Author:聪聪 |
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Description: 阐述了粒子群算法的基本原理,探讨了在MATLAB环境中实现粒子群算法的编程方法,构建粒子群算法工具箱函数,通过仿真示例验证了该方法的有效性,表明它能够对函数进行全局优化。-Expounded the basic principles of particle swarm optimization to explore particle swarm algorithm in MATLAB programming method to construct the particle swarm optimization toolbox function, an illustrative example to verify the effectiveness of the method, indicating that it can function for global optimization . Platform: |
Size: 54272 |
Author:孙雪 |
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Description: 为方便学习粒子群算法基本流程及编程，这里给出了粒子群算法的MATLAB程序-To facilitate the learning process and particle swarm basic programming, here are the particle swarm algorithm in MATLAB Platform: |
Size: 192512 |
Author:zdl |
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Description: 该资料为多目标粒子群求优MATLAB代码。改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数-The data is a multi object particle swarm optimization MATLAB code. The improved multi-objective particle swarm optimization algorithm, including the number of test functions in the program to modify some of the parameters will be better to solve certain functions Platform: |
Size: 7168 |
Author:Barney |
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Description: In implementing this project, four types of gray wolves like Alpha, Beta, Delta and Omega is the use to simulate the leadership hierarchy in which the three main steps of the hunt, searching for prey, surrounded prey, and attack the bait, are implemented. The simulation results with particle swarm algorithm (PSO) is compared, show that the algorithm has achieved better performance Grey Wolf GWO. Platform: |
Size: 1938432 |
Author:scada111 |
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