Description: 基于遗传算法的经济调度处理,word文档有简要说明,并且有算例-Based on genetic algorithms deal with economic dispatch, word document there is a brief description and examples have Platform: |
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Author:程飞 |
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Description: 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序-This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program Platform: |
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Author: |
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Description: 在matlab环境下，采用二进制的编码方式，利用遗传算法，对数学问题进行研究。-In the matlab environment, the use of binary encoding, the use of genetic algorithms, to undertake a study of mathematics. Platform: |
Size: 3072 |
Author:Alice Wang |
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Description: 遗传算法的PID调节
题目：已知 ，利用GA 寻优PID参数，其中K=1，T=2， ，二进制/实数编码，位数不限，M，Pc，Pm自选，性能指标 ，Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the median, M, Pc, Pm-on-demand, performance indicators, Q = 100 step for the simulation. Platform: |
Size: 2048 |
Author:qiqi |
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Description: 用遗传算法优化bp神经网络的权值，并训练以及验证网络-Bp by using genetic algorithms to optimize the weights of neural networks, and network training and validation Platform: |
Size: 2048 |
Author:ruoshui |
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Description: 用遗传算法解决了图像分割问题，将图像中的像素按灰度值用域值M分为两类图像，一类为目标图像，另一类为背景图像，经过几十次迭代后有助于缩小检索范围-Using genetic algorithms to solve the image segmentation problem, the image pixel gray value according to the value of M is divided into two categories with the domain images, one type is the target image, and the other as the background image, after dozens of iterative help on narrow your search Platform: |
Size: 464896 |
Author:宁国富 |
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Description: 本书详细介绍了遗传算法的相关知识，是一本比较不错的好书噢-This book details the knowledge of genetic algorithms is a relatively good books Oh! ! ! Platform: |
Size: 9703424 |
Author:海中水滴 |
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Description: 此代码是本人写的用遗传算法拟合MIMO系统TF模型参数，通过例子说明算法的有效性。-This code is written, I fit MIMO systems using genetic algorithms TF model parameters, through the examples of the algorithm. Platform: |
Size: 3072 |
Author:Liu Hongbin |
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Description: 要建立一个有效的支持向量回归(SVR)模型，支持向量回归的3个参数c，y，占丛须预先设定。提出一种新型的遗传算
法一智能遗传算法(IGA)对支持向量回归进行参数调节，以达到寻找最优参数的目的，然后和支持向量回归结合得到一种新的
IGASVR模型，并应用于城市人口预测。最后，将提出的方法与标准SVR模型和BP神经网络模型进行比较，所得结果表明，该模
型训练速度快，并且有较高预测精度，是一种有效的人口预测方法。-To build an effective SVR model，SVR’8 parameters must be set carefully．This study proposes a novel approach，
known ag IGASVR。which searches for SVR’s optimal parameters using intelligent genetic algorithms，and then adopts the optimal
parameters to construct the SVR models．Finally we apply IGASVR tO forecast population．The experimental results demonstrates
that IGASVR are better than standard SVR and BP neural-network．IGASVR model is an effective approach which has faster
speed of training and higher precision． Platform: |
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Author:11 |
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Description: 用遗传算法来优化BP神经网络，进行网络训练，包含有实验数据-Using genetic algorithms to optimize the BP neural network, the network training, includes the experimental data Platform: |
Size: 17408 |
Author:李婷 |
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Description: 遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful. Platform: |
Size: 1673216 |
Author:慧莹 |
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Description: 排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co Platform: |
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Author:张林杰 |
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Description: matlab用标准遗传算法求f(x)=x2－22x+30函数的最小值，x [0,31]。 包含源码及结果-matlab using standard genetic algorithms f (x) = x2-22x+30 the minimization, x [0,31]. Includes source code and results Platform: |
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Author:wh |
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Description: 遗传算法车间调度,车间作业调度问题遗传算法
--------------------------------------------------------------------------
输入参数列表
M 遗传进化迭代次数
N 种群规模(取偶数)
Pm 变异概率
T m×n的矩阵，存储m个工件n个工序的加工时间
P 1×n的向量，n个工序中，每一个工序所具有的机床数目
输出参数列表
Zp 最优的Makespan值
Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图
Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图
Y3p 最优方案中，各工件各工序使用的机器编号
Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵
LC1 收敛曲线1，各代最优个体适应值的记录
LC2 收敛曲线2，各代群体平均适应值的记录
最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）-Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict Platform: |
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Author:王龙隐 |
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Search - matlab genetic algorithms