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本程序是一个用POS来求解NP难问题，比图TSP问题，实际仿真效果证明改算法合理,This procedure is a POS to use NP hard problem to solve than the TSP problem graph, the actual simulation results prove that a reasonable change algorithm
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基于粒子群优化算法（PSO）的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Based on Particle Swarm Optimization (PSO) of the 50 cities TSP problem solving can be extended to a similar NP-hard problem.
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pso解决两目标函数极值问题，适合初学多目标的同学-Pso solve two goals for beginners, the function extreme problem multi-objective classmates
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利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
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修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results!
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处理旅行商问题的离散PSO算法的例程，动态生成路径串，算法本身保证了路径串的合法性-Traveling salesman problem to deal with discrete PSO algorithm routines, dynamically generated path string, the algorithm itself, guarantee the legitimacy of the path string
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一个求解TSP问题的粒子群算法，用matlab仿真实现。-A solution of TSP problem PSO with matlab simulation.
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离散版粒子群算法,MATLAB环境中的,对求解离散优化问题很有帮助.-Discrete version of PSO, MATLAB environment to solve the problem of discrete optimization helpful.
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带交叉因子的改进PSO算功能：求解多维无约束优化问题收敛性强，还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator
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在matlab7.0下沒問題，有性趣的人可以拿回去參考參考。-Matlab7.0 no problem in the next, there are interested people can go back and refer to the reference holding.
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this modified PSO algorithm can solve for constrained optimization problem
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利用粒子群算法，计算函数的最优化问题。
本程序有很强的适用性。在理论与实际问题的优化上有一定的推广价值-The use of particle swarm optimization, the calculation function of the optimization problem. This procedure has a strong application. Theory and practical problems in the optimization of the prom
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Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
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matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS
前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。
遗传算法解决最小生成树问题，PURFER编码。
粒子群算法做无约束最优化问题。
蚁群算法解决TSP问题。
如果有宝贵经验希望能交流一下，谢谢，-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm f
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粒子群算法解决二进制问题，通过matlab语言进行编程-Binary particle swarm algorithm to solve the problem, through the matlab programming language
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基础的PSO算法程序，可以方便的解决优化问题，也可以在此基础上方便的进行改进-Based on PSO algorithm program, you can easily solve the optimization problem, on this basis can also be easily be improved
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采用速度-位置模型，把优化问题空间转化为随机粒子空间，通过反复迭代寻找最优解，可用于基于pso移动机器人地图创建-Use of speed- location model, the optimization problem space into a random particle space, through repeated iterations to find the optimal solution can be used for mobile robot map building bas
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粒子群算法（PSO）解决旅行商问题（TSP）的matlab程序。-Particle swarm optimization (PSO) to solve the traveling salesman problem (TSP) in the matlab program.
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蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
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一个基于粒子群优化算法源码,（PSO）的50个城市TSP问题的求解，可推广至类似NP.-A source code based on particle swarm optimization, (PSO) of the 50 cities TSP problem solving, can be extended to similar NP.
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