搜索资源列表
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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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PSO优化BP的源程序,加上作者的注释.-BP PSO optimization of the source, together with the author' s comments.
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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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PSO : Particle swarm Optimization with Sphere function
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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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粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
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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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PSO与GA混合优化算法，可实现比单纯使用PSO或者GA算法更好的优化效果-PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better
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Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple
maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated
annealing solvers. You can u
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A Binary Particle Swarm Optimization for Optimal Placement and Sizing
of Capacitor Banks in Radial Distribution Feeders with Distorted
Substation Voltages
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A Binary Particle Swarm Optimization for Optimal Placement and Sizing
of Capacitor Banks in Radial Distribution Feeders with Distorted
Substation Voltages
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particle swarm optimization with matlab,finish the problem about to find the highest point of texture.
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带交叉因子的粒子群优化算法matlab源程序-Cross-factor with particle swarm optimization algorithm matlab source
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）-This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelli
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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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