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粒子群算法实现目标函数的最优解
- 粒子群算法实现目标函数的最优解
selest
- 关于一些算法中如何生成新成员的选择方法，粒子群算法，遗传算法等算法可以用。-How about some algorithm to generate a new member of the selection method, particle swarm optimization, genetic algorithms and other algorithms can be used.
c4
- 粒子群算法求解TSP问题，C++写的，大家共享哦-Solving TSP Problems by Particle Swarm Optimization，C++
c6
- 粒子群算法求解TSP问题，C++写的，大家共享哦-Solving TSP Problems by Particle Swarm Optimization，C++
c1
- 粒子群算法求解TSP问题，大家共享哦，希望有所帮助-Particle Swarm Algorithm for TSP problem, we shared Oh, want to be helpful
c
- 粒子群算法求解TSP问题，大家共享哦，希望有所帮助-Particle Swarm Algorithm for TSP problem, we shared Oh, want to be helpful
pso
- 程序说明： jblzq.m为基本粒子群程序求函数的最大值 lzq2.m是惯性权重法求函数的最大值 lzq3.m是惯性权重法求函数最小值。当然也可以用lzq2.m实现，在函数前加个负号 lzq4.m是收敛因子法求函数最小值 lzq5.m是带变异的惯性权重法求最大值，变异条件比较简单，变异次数多。还有一种变异是利用各粒的最优位置与全局最优位置的差的平方和，再开根号的值小于某一值最为收敛条件，将在我的报告中叙述 lzq6.m是分层粒子群优化算法，即利用两个粒子群同时进行搜索，一
pso
- 粒子群算法，通用版,大家拿去根据自己的问题进行适当的修改即可。-pso
PSO
- 基于模拟退火的粒子群算法，模拟退火算法在搜索过程中具有该概率突跳的能力，能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
pso_c
- 粒子群算法求解常有算法，比较好的资料，c++编写！-Particle swarm optimization algorithm for solving often, and better data, c++ to prepare!
liziqun
- 粒子群的算法，收敛效果还不错，可以用用，希望大家支持-Particle swarm algorithm, convergence results were pretty good, can be used, hope you will support
Matlabliziqun
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。-Particle swarm optimization, also known as PSO (Particle Swarm Optimization), abbreviated as PSO, in recent years developed a new evolutionary alg
PSO
- 自己编写的，粒子群算法的fortran程序-I have written, particle swarm algorithm fortran program
mpso
- 多目标粒子群优化算法，利用粒子群算法原理编写优化两个目标函数。-Multi-objective particle swarm optimization algorithms, particle swarm optimization principle to write to optimize the two objective functions.
粒子群算法
- matlab粒子群算法的简单实现，可以自己调精度，群体学习和个体学习的权重(Particle Swarm Optimization based on matlab)
pso
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foragi
MATLAB粒子群优化算法
- 粒子群优化算法的代码，可以用来自己修改成需要的子函数。(Particle swarm optimization algorithm code can be used to modify their own needs of the sub-function.)
PSO算法求解非线性方程组
- 使用pso粒子群算法求解非线性方程组，用c语言实现(PSO Particle Swarm Optimization (PSO) is used to solve nonlinear equations and is implemented in C language)
PSO
- 此程序为标准粒子群算法优化一个10维函数的算例，可以运行(Standard particle swarm optimization optimization 10 - dimensional function)
PSO_yueshu
- 带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems)