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粒子群算法工具包，包括动态环境的寻优，还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process
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C++语言的最优控制软件，C++语言开发，非常好用-ACADO Toolkit- An Open-Source Framework for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a gene
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人工智能的经典算法：基于动态粒子群算法的动态环境寻优算法-Classic artificial intelligence algorithms: dynamic particle swarm optimization-based dynamic environment optimization algorithm
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ACADO Toolkit is a software environment and algorithm collection written in C++ for au-tomatic control and dynamic optimization. It provides a general framework for using a great
variety of algorithms for direct optimal control, including model pre
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主要内容有MATLAB操作基础、MATLAB矩阵及其运算、MATLAB程序设计、MATLAB绘图、MATLAB数据分析与多项式计算、MATLAB解方程与最优化问题求解、MAI’LAB数值积匀与数值微分、MATLAB符号运算、MATLAB图形句柄、MATLAB图形用户界面设计、Simulinl动态仿真集成环境以及MATLAB外部接口技术。-Main content MATLAB operating basis, MATLAB matrix and its operations, MATLAB pr
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PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。-PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swar
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如今大规模计算的需求日渐增长,应运而生的云计算已成为一种广为人知的计算模式。云计算通过对资源的聚合和动态重用,实现了服务流程的优化和资
源利用效率的提升。云计算技术正在蓬勃发展之中,对其相关技术的研究也呈现
了百家争鸣的态势。由于云计算服务器集群的规模很大,如何合理调配云计算资
源以提高能源的利用效率已成为一个研究的热点。本文研究的重点问题就是如何在云计算环境中实现拥有更佳的节能性能的资源分配方法。
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实现动态环境寻优，改进的粒子群算法,迭代1200次，有完整的收敛曲线-Achieve dynamic environment optimization, improved particle swarm algorithm, iterative 1200, a complete convergence curve
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在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
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several improved pso for moving peak benchmark .solving dynamic environment optimization by using pso
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基于动态粒子群算法的环境寻优算法源码及相关例程-Dynamic particle swarm optimization algorithm source environment and related routines
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基于动态粒子群算法的动态环境寻优问题，粒子群算法在复杂环境下的编程实例。(Dynamic environment optimization problem based on dynamic particle swarm optimization algorithm, particle swarm optimization programming examples in complex environment.)
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ACADO工具包是一个软件环境和算法集自动控制和动态优化。它为直接优化控制提供了多种算法，包括模型预测控制、状态参数估计和鲁棒优化。(ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithm
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在动态环境中使用Q学习优化算法进行优化，仿真软件为Matlab(Q-learning optimization algorithm is used to optimize in dynamic environment. The simulation software is MATLAB)
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