搜索资源列表
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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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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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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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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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滤波器设计是信号处理的核心问题之一,Matlab软件在多个研究领域都有着广泛的应用。
本文介绍了基于Matlab环境下,用窗函数设计法实现FIR数字滤波器的设计,并阐述了与以前人
们常用的设计方法的区别,给出了设计实例。仿真结果表明,设计结果的各项性能指标均达到指定
要求,且设计过程简便易行。
-The design of filters is a core problem in signal processing. MATLAB software iswidely used i
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多目标优化
相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题-Compared
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多群协同PSO优化算法的WTA问题求解Multi-group cooperative PSO algorithm for solving the WTA problem-Multi-group cooperative PSO algorithm for solving the WTA problem
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The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient metho
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粒子群算法解决背包问题。包含matlab 源程序，和一份报告。我的一份作业-Particle swarm algorithm to solve knapsack problem. Matlab source code included, and a report. I have a job
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