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Description: 遗传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术。
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Author: ren20052064@sina.com |
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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
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Description: 遗传算法在工程优化计算上的应用的MATLAB程序。-genetic algorithm optimization calculation of the MATLAB program.
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Author: dawn |
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Description: 1,改进BP神经网络在股市预测中的应用.2,基于MATLAB工具箱的开采煤层自燃危险性预测.3,基于改进的神经网络的电力系统负荷预报.4,基于神经网络的灌溉用水量预测.5,基于遗传算法改进BP网络的地表沉陷预计.6,利用遗传算法改进BP学习算法.7,模糊神经网络在电力市场短期负荷预测中的应用.8,神经网络学习算法存在的问题及对策.9,遗传神经网络在电力系统短期负荷预测中的应用.10,应用改进BP神经网络进行用水量预测.11,用遗传算法改进的BP模型在刹车系统诊断中的应用研究.12,遗传算法改进的BP神经网络对汛期三门峡水库泥沙冲淤量的计算13,基于遗传算法的人工神经网络学习算法14.自适应遗传算法优化管网状态估计神经网络模型.15,基于GA_RBF神经网络的电梯交通流模式识别的研究-Improved BP Neural Network in Stock Market Prediction
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Author: 军军 |
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Description: MATLAB最优化计算20例.m文件，包括二次插值，黄金分割，罚函数法，遗传算法，拉格朗日乘子法等-MATLAB Optimization Calculation of 20 cases. M documents, including quadratic interpolation, Golden Section, penalty function method, genetic algorithm, Lagrange multiplier method
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Author: c.k. |
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Description: 采用遗传算法进行优化的MATLAB程序 ，此处计算的是阻抗变换器的优化-Genetic algorithm to optimize the use of the MATLAB program, here is the calculation of the optimal impedance converter
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Size: 6144 |
Author: qingjun |
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Description: 基于遗传算法的矩量法计算程序，用于优化天线结构-Based on genetic algorithm method of moments computer program for optimization of antenna structure
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Author: 陈波 |
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Description: 这个程序是首先使用遗传算法优化神经网络权值和阈值，然后学习神经网络计算。参数的值有些可以根据需要进行修改。神经网络结构是一个简单的三层架构，可根据增加的情况下隐藏层，相应的修改程序。-This program is the first to use genetic algorithm optimization neural network weights and thresholds, then the learning neural network computing. Some of the parameters value can be modified as needed. Neural network structure is a simple three-tier structure can be increased depending on the circumstances hidden layer, the corresponding change the program.
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Size: 6144 |
Author: 刘昶 |
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Description: 遗传算法 优化 计算 建模 自变量 降维 -Genetic Algorithms Modeling Reduced variables
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Size: 90112 |
Author: guanyouyuan |
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Description: 此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algorithm is first encoded into a practical optimization problems found string, also known as code string, the chromosome. The objective function of the actual problem into the fitness function of chromosomes, then randomly generated based on the number of initial chromosomes, according to the fitness function value of chromosome reproduction, crossover and mutation operation produces the next generation of chromosomes.
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Author: 马超 |
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Description: 智能优化计算，遗传算法编程实现，解决一个复杂型超越方程极小值计算问题。采用十进制编码。-genetic algorithm
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Size: 54272 |
Author: sanlizi |
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Description: 针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genetic algorithm toolbox.)
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Author: 李乃双
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Description: 遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。(Genetic algorithm (GA) is a search algorithm for solving optimization in computational mathematics. It is a kind of evolutionary algorithm. Evolutionary algorithms were originally developed by drawing on some phenomena in evolutionary biology, including inheritance, mutation, natural selection, and hybridization. The genetic algorithm is usually implemented as a computer simulation.)
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Size: 1024 |
Author: 风12369874
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Description: 遗传算法优化程序，计算目标函数最小值，只需修改目标函数和种群初始化参数(Genetic algorithm optimization procedures to calculate the minimum objective function)
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Size: 3072 |
Author: xiaokang_9908
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Description: 现代优化计算方法，介绍遗传算法，蚁群算法等智能优化方法(Modern optimization methods, such as genetic algorithm, ant colony algorithm and other intelligent optimization methods)
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Author: L莫尔
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Description: 遗传算法工具箱，介绍一元函数优化及多元函数优化，应用遗传算法工具箱进行计算。(Introduce the unary function optimization and genetic algorithm toolbox, multivariate function optimization, application of genetic algorithm toolbox to calculate.)
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Size: 2048 |
Author: 妍果果
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Description: 利用遗传算法计算目标函数极值，遗传算法与传统的优化方法（枚举，启发式等）相比较，以生物进化为原型，具有很好的收敛性，在计算精度要求时，计算时间少，鲁棒性高等都是它的优点。(Using the genetic algorithm to calculate the extremum of a objective function. Compared with the traditional optimization methods (enumeration, heuristics, etc.), genetic algorithms take the biological evolution as the prototype, which has good convergence. It has the advantages of less computational time and high robustness when calculating the precision requirements .)
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Size: 3072 |
Author: amnesia666
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Description: 这是完整的基于MATLAB的遗传算法的程序，是关于旅行商问题的求解(This is a complete procedure of genetic algorithm based on MATLAB, which is about solving traveling salesman problem.)
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Size: 3072 |
Author: 晗宝宝 |
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Description: 遗传算法在无功优化的应用，电力系统潮流计算(Application of genetic algorithm in reactive power optimization)
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Size: 5120 |
Author: 小邓769 |
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