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UPSO_test
- 粒子群算法,智能优化算法,解决全局优化问题,upso(Particle swarm optimization algorithm UPSO)
PSO_test
- 粒子群算法,智能优化算法,全局优化问题,pso(Particle swarm optimization algorithm PSO)
CLPSO_test
- 粒子群算法,智能优化算法,全局优化问题,CLPSO(Particle swarm optimization algorithm CLPSO)
myPSO
- 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, 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutati
RandWPSO
- 随机权重粒子群算法,解决无约束问题,入门级别。粒子群算法结构简单,易于实现,非常经典。(random weight particle swarm optimization for unconstrained problems)
PSO&GA
- 本文件对PID参数kp,ki,kd进行寻优,以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化,适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is us
psopt
- 一种粒子群算法,可以优化具有线性约束、非线性约束、等式约束、有界约束的问题,使用方法与MATLAB自带的GA算法类似(搬运)(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
pso原始算法
- 粒子群算法,用于解决负载均衡优化问题,该算法编程简单,易于实现(Particle swarm optimization (PSO) algorithm is used to solve the load balancing optimization problem. The algorithm is simple and easy to implement)
YSPSOMTSP
- 用粒子群解多旅行商问题的初版,问题是现在求解的结果并不是最优,不知道问题出在哪里(The first edition of solving traveling salesman problem using particle swarm optimization, solving the problem is now the result is not optimal, don't know where is the problem)
PSO
- 标准的粒子群算法程序代码,相对简洁,求解二维的带约束优化问题(Newton method for solving linear constrained problems)
MATLAB_optimization
- 本文件提供了粒子群算法,遗传算法,规划问题,极值问题等的算法(This document provides some algorithms for particle swarm optimization, genetic algorithm, programming problem, extreme value problem and so on)
9086104
- 目前,粒子群算法在连续问题优化上的应用已经很广泛,然而在离散问题优化方面仍处在尝试阶段,提出了一种改 进粒子群算法来解决矩()
selettion_pane
- 一个求解TSP问题的粒子群算法,用matlab仿真实现,()
acclptance
- 粒子群优化问题是国内比较前沿和少见的研究方向,这里有一个关于他的示例程序()
ihlskvw407
- 各种优化算法解决TSP问题 包括蚂蚁群算法 ,粒子群算法 ,遗传算法等等()
zlbPSO
- 应用粒子群算法解决资源分配问题,并附注程序评价(Application of particle swarm algorithm to solve resource allocation problem and append program evaluation)
lmain
- 粒子群算法解决vrp问题,主函数和各个子程序,全部,可运行。(The particle swarm optimization (PSO) algorithm solves the VRP Problem, the main function and the various subroutines, all of which can be run.)
exit
- 各种优化算法解决TSP问题 包括蚂蚁群算法 ,粒子群算法 ,遗传算法等等()
求解大规模问题的协同进化动态粒子群优化算法
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
避障
- 采用粒子群算法解决tsp问题,其中避障部分采用蚁群算法,找出每两个城市之间的避障路径 空间:三维(The particle swarm optimization (PSO) algorithm is used to solve the TSP problem, in which the obstacle avoidance part uses ant colony algorithm to find out the obstacle avoidance path between every t