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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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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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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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