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PSO粒子群寻优算法。
Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
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带交叉因子的粒子群优化算法，有关粒子群算法的改进并举例说明,Cross-factor with particle swarm optimization algorithm, the particle swarm algorithm and illustrates
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改进PSO-SVM在说话人识别中的应用。通过对粒子群优化算法中惯性权重和全局最优值
的分析，提出了一种根据迭代次数而自适应变化的惯性权重的粒子群优化方法,Improvement in the PSO-SVM speaker recognition applications. Through particle swarm optimization algorithm in the inertia weight and the analysis of the global optimum val
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粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。,Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters.
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精通matlab最优化计算随书带的源码，包括线性规划，整数规划，pso，GA等-Proficient in matlab optimization calculation with the source code with the book, including linear programming, integer programming, pso, GA etc.
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基本粒子群优化算法（PSO）
求解优化问题-Elementary particle swarm optimization (PSO) for solving optimization problems
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用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best
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微粒群算法的课程用ptt,内有学习PSO的课用流程,相信想学习的您,不会错过-Particle Swarm Optimization courses with ptt, there are study classes with PSO flow, I believe you want to study, not to miss
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微粒群算法的电子书，本书是由太原科技大学曾建潮教授等人编写的，比较系统的阐述了当前微粒群优化方面的研究成果和进展。-Particle Swarm Optimization of e-books, this book is written by Taiyuan University of Science and Technology Professor Zeng Jianchao and others prepared to compare the current system on the pa
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用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm
Evolutionary Algorithm package implemented using Java.
The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
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小生境粒子群算法例子，对学习粒子群算法及很好的理解该算法非常有用-Examples of niche PSO, particle swarm optimization algorithm for learning and a good understanding of the algorithm is very useful! ! !
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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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This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization al
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基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
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某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒
群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法
的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几
个运算实例和与其它优化算法的比较.-Some of the practical problems the optimizati
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Reservoir Optimization with PSO
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TSP with pso Particle swarm optimization
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Unit commitment problem using Particle Swarm Optimization (UCP-PSO)
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particle swarm optimization with MATLAB
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本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)
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