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AnalysisandRealizationoftheParallelGPF
- 本文档的标题是并行高斯粒子滤波器结构分析和实现。本文针对粒子滤波器计算量大、实时性差的问题分析了高斯粒子滤波的并行结构,并以一个简单实例为背景介绍了高斯粒子滤波器在集群计算机上的应用实现。是一篇很好的论文
antTSP
- 一个一群算法求解TSP问题的很好的粒子,很适合初学者。-A group of algorithm for solving the problem TSP good particle, it is suitable for beginners.
ACO_GA_PSO
- 用三种方法解决城市距离问题(或背包问题)。三种方法分别为:遗传算法,蚁群算法,粒子算法。-Three ways to solve the problem of urban distance (or knapsack problem). Three methods are: genetic algorithm, ant colony algorithm, particle algorithm.
PSO BP wind power
- 粒子群结合神经网络智能算法优化最值问题。(And the output of the fan is tracked and predicted in real time based on the wind power prediction of the PSO algorithm.)
PSO-有约束优化
- 该资源使用matlab编写的有约束条件的粒子群算法,其中的代码对于解决一些约束问题可能会有很大的帮助,也可以为一些人提供一些想法与思路(This resource uses a constrained particle swarm algorithm written in matlab. The code in it may be very helpful for solving some constraint problems, and it can also provide some peo
code
- 基于蚁群算法的 TSP 求解,分别采用蚁群算法和蚁群算法-粒子群混合算法进行优化求解,使用不同的交叉和变异适应度函数更新粒子,从而实现 TSP问题的优化求解,更加逼近实际问题。(Based on the TSP solution of ant colony algorithm, ant colony algorithm and hybrid algorithm of ant colony algorithm particle swarm optimization are used to solv