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5下载:
用模拟退火优化遗传算法,使遗传算法具有反向搜索能力,通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
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This a demonstration of how to find a minimum of a non-smooth
objective function using the Genetic Algorithm (GA) function in the
Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based
optimization methods, like those foun
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基于遗传算法的bp神经网络优化程序,经测试好用,有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
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基于MATLAB的遗传算法优化程序的编程 每一步都有详细的说明-MATLAB-based genetic algorithm optimization process every step of programming detail
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有约束的最优问题,对优化求解很有用,特别是在运筹规划问题上用途很大-The constrained optimization problem, on the optimal solution is useful, especially in the use of large logistics planning issues
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现代最优化算法(有170多页的PPT,2010年的)
分为三个部分
Part 1 概论
Part 2 模拟退火算法
Part 3 遗传算法
现在常用的优化算法
禁忌搜索算法
模拟退火算法
遗传算法
人工神经网络
蚁群算法
粒子群算法
混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
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用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
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该代码是遗传算法的优化计算(输入自变量降维)。其中gaot文件夹为GAOT遗传算法工具箱,该工具箱安装步骤安装步骤:File→Set Path→Add with Subfolders→Save。-The code is a genetic algorithm optimization(the input argument dimension reduction). gaot folder is GAOT genetic algorithm toolbox, the installation st
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matlab用法 主要用于线性规划,非线性规划,解决优化问题,作出最合理的决策等遗传算法程序-matlab usage is mainly used for linear programming, nonlinear programming to solve optimization problems, make the most rational decision-making, genetic algorithm
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此段程序是一套完整的设计程序(包括拓扑图、分析表),运用遗传算法优化解决路径规划问题。-The procedures of this section is a complete set of design procedures (including topology, analysis, table), the use of genetic algorithm optimization to solve the path planning problem.
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MATLAB神经网络30个案例分析_案例27 遗传算法的优化计算——建模自变量降维的源代码及数据-MATLAB Neural Network Analysis of 30 cases _ Case 27 genetic algorithm optimization- modeling the independent variable dimensionality reduction of the source code and data
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遗传算法优化神经网络程序-Genetic algorithm optimization neural network program-Genetic algorithm optimization neural network program
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自适应遗传优化算法函数最优化 自适应遗传优化算法函数最优化自适应遗传优化算法函数最优化-Adaptive Genetic Algorithm optimization function optimization adaptive genetic algorithm function optimization adaptive genetic optimization algorithm function optimization
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基本遗传算法的函数最优化(预选择机制) 根据源码改编-The most basic function of genetic algorithm optimization (pre-selection mechanism)
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遗传算法优化B P神经网络的目的是通过遗传算法得到更好的网络初始权值和阈值, 其
基本思想就是用个体代表网络的初始权值和阈值、 个体值初始化的B P神经网络的预测误差作为该个体的适应度值, 通过选择、 交叉、 变异操作寻找最优个体, 即最优的B P神经网络初始权值。除了遗传算法之外, 还可以采用粒子群算法、 蚁群算法等优化B P神经网络初始权值。-Genetic algorithm to optimize BP neural network is designed by means of g
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基于遗传算法的BP神经网络优化算法,用遗传算法和BP神经网络优化算法相结合,来寻找最优值。-Based on genetic algorithm optimization algorithm BP neural network, genetic algorithm and BP neural network optimization algorithm combined to find the optimal value.
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该目录包含了matlab的遗传算法优化工具箱
。-This directory contains the Genetic Algorithm Optimization Toolbox for
Matlab.
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遗传算法 优化参数 速度 快捷-Genetic algorithm optimization parameters fast speed
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基于遗传算法,用10个股票的组合来优化模拟沪深300指数-Based on the genetic algorithm, using 10 stock portfolio to optimize simulation CSI 300 Index
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运用遗传算法优化神经网络结构,提高训练速度,运算精度-Genetic algorithm optimization of neural network structure, improve training speed, the precision
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