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4下载：
这个压缩包是微粒群优化算法（PSO）工具-MATLAB箱源代码。,The compressed packet is the source code of Particle Swarm Optimization (PSO) instrument of MATLAB.
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这是一个很好用的求解TSP问题的粒子群算法，很适合初学者。,This is a very good solution of TSP used in the particle swarm optimization problems, it is suitable for beginners.
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用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数，均能得到问题最优解。如有任何疑问，请于http://2shi.phphube
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％程序名称：求解约束优化问题的改进粒子群优化算法
％程序功能：求解带各种约束条件的优化问题
％输入条件：各种初始条件，以及设定参数
％输出数值：最优解位置以及函数极小值
, Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features: solving with a variety of constr
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三维Otsu算法，图像分割，利用粒子群优化算法进行加速。-Three-dimensional Otsu algorithm, image segmentation, particle swarm optimization algorithm accelerated.
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改进粒子群算法及其在电力系统经济负荷分配中的应用改进粒子群算法及其在电力系统经济负荷分配中的应用-Improved Particle Swarm Optimization and its power system economic load dispatch of improved particle swarm optimization and economic dispatch in power system application
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基于差分进化的粒子群优化算法，（全局最优粒子群优化算法）-Based on differential evolution particle swarm optimization, (global optimization PSO)
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我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
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粒子群程序,是一种有效的优化算法,用于控制-Particle swarm procedure is an effective optimization algorithm is used to control
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Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
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多阈值图像分类的粒子群优化算法，采用自然方法来提高优化速度和计算量-Multi-threshold image classification of the particle swarm optimization algorithm, using natural methods to improve the optimization speed and computation
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用于分析带约束问题的输出结果,加上约束的粒子群算法功能有很大改善-Used to analyze the problem with constraint output, coupled with constrained particle swarm optimization function has greatly improved
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粒子群优化算法容易理解，实现简单，优化速度快，收敛性强。常用于解决种类最优化问题。-Particle swarm optimization algorithm easy to understand, easy to achieve, and optimize the speed and strong convergence. Types commonly used in the optimization problem to solve.
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基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
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基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
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Matlab particle swarm optimization toolbox
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simple matlab implementation of Particle Swarm Optimization algorithm
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混沌的粒子群算法，求解无约束优化问题，可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
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fuzzy inertia weight particle swarm optimization
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采用遗传微粒群算法（GPSO）求解旅行商问题（TSP）的源代码。内附多个算例，本算法对于中小规模问题求解效率很高，对于大规模问题则效率略低。如有任何疑问，请于http://2shi.phphubei.com.cn/index.php发帖询问。-Genetic Particle Swarm Optimization (GPSO) for Traveling Salesman Problem (TSP) of the source code. Containing a number of examp
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