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结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strateg
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PSOt - a Particle Swarm Optimization Toolbox for use with Matlab.
A Particle Swarm Optimization Toolbox (PSOt) for
use with the Matlab scientific programming environment has
been developed. PSO is introduced briefly and then the use of
the to
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文件包括带压缩因子的粒子群算法，权重改进的粒子群算法，自适应权重法，随机权重法，变学习因子的粒子群算法，异步变化的学习因子，二阶粒子群算法，二阶振荡粒子群算法，混沌粒子群算法，混合粒子群算法，杂交粒子群算法，模拟退火算法-File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method,
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带变异算子的粒子群优化算法,针算法存在易陷入局部最优点的缺点，提出带变异算子算法-Particle swarm optimization algorithm with mutation operator the needle algorithm easy to fall into the shortcomings of local minima, the proposed algorithm with mutation operator
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用粒子群求解最优化问题的一个粒子，并画出迭代次数与最优解的关系-For solving optimization problems with particle swarm particle, and draw a relationship between the number of iterations and the optimal solution
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子群优化算法中,粒子群由多个粒子组成,每个粒子的位置代表优化问题在D维搜索空间中潜在的解。根据各自的位置,每个粒子用一个速度来决定其飞行的方向和距离,然后通过优化函数计算出一个适应度函数值(fitness)。-Subgroup of particle swarm optimization algorithm is composed by a number of particles, each particle' s position represents to optimize the p
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PSO算法简单、易实现、计算量小，而且PSO 对初始点依赖性不大，具有更强的全局优化能力，也能较快的的收敛于可接受解。这是改进的pso,请多多指教。-PSO algorithm is simple, easy to realize the advantages of a small amount of computation and computational efficiency, and PSO dependence of the initial point, with stronger g
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In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyP
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In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyP
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网上找到别人分享的比较简洁的微粒群算法matlab代码-Find online to share with others a simple particle swarm optimization matlab code
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ＢＰ神经网络具有较强的非线性问题处理能力 是目前一 种 较 好 的 用 于 时 间 序 列 预 测 的 方 法 然 而 它 存 在 易 于 陷 入 局 部 极 小,针对地震预测的应用,用改进粒子群优化的ＢＰ算法对四川地区最大震级时间序列进行预测,通过训练 预 测 次 年 的 最 大 震 级 结 果,表明此方法优于未经优化的 ＢＰ算法具有良好的预测效果 -BP neural network has a strong nonlinear problems processing power is a
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带交叉因子的粒子群优化算法matlab源程序.doc-With cross-factor particle swarm optimization algorithm matlab source code. Doc
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粒子群原理以及在函数中的优化，并附程序。-Theory and particle swarm optimization in the function, along with the program.
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PSO粒子群算法，求解离散变量组合优化，收敛曲线图，功能区域注释详细-PSO PSO algorithm for solving combinatorial optimization with discrete variables, convergence curves, functional areas detailed notes
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带有速度限制和种群限制的粒子群优化算法程序。matlab编写。-Populations with speed limits and restrictions on particle swarm optimization algorithm. matlab prepared.
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粒子群优化的kriging近似建模程序包DACE-PSO，matlab程序，比传统的dace程序设置更小的参数-Kriging particle swarm optimization modeling package DACE-PSO, matlab program, compared with the traditional dace package advantage is: do not determine the Sigma parameters
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改进的粒子群优化克里金模型，相较传统的克里金模型MATLAB数据包，此方法输入参数更少-Improved particle swarm optimization kriging model, compared with the traditional kriging model MATLAB data packet, this method less input parameters
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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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File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchro
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Abstract A particle swarm optimization method with nonlinear
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determ
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