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use GA to deal with 模糊随机规划例题-use GA to deal with fuzzy stochastic programming examples
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利用遗传算法和神经网络进行随机分析,并附有说明文档
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应用到随机规划的智能算法,可以解决目标约束随机问题
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随机规划解决随机优化问题,主要用到遗传算法,神经元网络。-stochastic programming problem solving stochastic optimization, use genetic algorithms, neural network.
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随机算法的c++源代码,程序结构清晰,便于理解-Stochastic Programming
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用遗传算法求解随机模型的C++实现,绝对能够运行成功的-Genetic algorithm with stochastic models of the C++ to achieve, definitely be able to run successful
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这是一个MATLAB中文工具箱,提供了很多有用的,MATLAB自身没有的数学建模的源码,例如:数据拟合,微积分和微分方程,随机模拟和统计分析,数学规划,离散优化等,并有中文的注释。非常好!-This is a MATLAB toolbox Chinese, providing a lot of useful, MATLAB does not own the source of mathematical modeling, such as: data fitting, calculus and d
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这是美国麻省理工学院的有关动态规划与随机控制方面的课件,希望对学习动态规划和随机控制方面对大家有所帮助。-This is the Massachusetts Institute of Technology on Dynamic Programming and Stochastic Control in courseware, want to learn dynamic programming and stochastic control to all of us help.
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优化问题分类:(非)线性规划、整数规划、0-1 规划、(多)目标规划、(与时间有关的)动态规划、(系数是随机变量的)随机规划。 -Optimization problem categories: (non-) linear programming, integer programming ,0-1 plan, (multiple) goal programming, (and time-related) dynamic programming, (coefficient is a random
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klman 离散随机系统的卡尔曼滤波编程算法,代码比较容易懂-klman discrete stochastic systems programming Kalman filter algorithm, the code easier to understand
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klman 离散随机系统的卡尔曼滤波编程算法主程序,应该比较好懂-klman discrete stochastic systems programming Kalman filter algorithm the main program, should better understand
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随机水文学自相关系数的计算,用VB程序编程的随机水文学方面的知识。-Stochastic hydrology calculation of the autocorrelation coefficient, using VB programming random hydrological knowledge.
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将离散约束优化问题转化为非负整数约束规划问题,开发求解该问题的离散差分进化算法。该算法采用基于混沌映射
的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件,给出惩罚基数的计算方法和连续映
射基函数的表达式,在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平
均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融合,
构造面向工程约束优化的混合离散差分进化算法
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该算法是用随机模拟,遗传算法和神经网络相结合的混合算法求解随机期望模型的。-The algorithm is simulated using a stochastic, combining genetic algorithm and neural network hybrid algorithm for solving stochastic expected value model.
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该算法是用随机模拟,遗传算法和神经网络相结合的混合算法求解随机机会约束的模型。-The algorithm is simulated using a stochastic, combining genetic algorithm and neural network hybrid algorithm for solving stochastic chance constrained model.
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混合智能算法:采用人工神经网络对不确定性函数与及约束进行拟合,并采用pso算法求解考虑多个风电节点的IEEE33节点系统随机规划模型。-Hybrid intelligent algorithm: the use of artificial neural network to fit the function of the uncertainty and constraint, and using pso algorithm considering IEEE33 node system stoch
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针对多期随机规划问题,利用情景树方法来求解-For multi-period stochastic programming problems, the use of scenarios to solve Tree
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带有随机规划的多目标非线性模型求解,算法为文化查分算法-Multi-objective nonlinear model with random programming solving algorithm cultural algorithm check points
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LCMV优化设计阵列处理信号,DC-DC部分采用定功率单环控制,可以动态调节运行环境的参数,利用matlab GUI实现的串口编程例子,插值与拟合,解方程,数据分析,有信道编码,调制,信道估计等,包括随机梯度算法,相对梯度算法,抑制载波型差分相位调制。- LCMV optimization design array signal processing, DC-DC power single-part set-loop control, Can dynamically adjust the par
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《随机规划与模糊规划》5.5节的例子:基于随机模拟的遗传算法matlab代码-< stochastic programming and fuzzy programming >5.5 examples: stochastic simulation based genetic algorithm matlab code
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