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可用于大学的遗传算法实现排课系统！用遗传算法能达到最好的效果-Can be used for the genetic algorithm University Course Scheduling System! Using genetic algorithms to achieve their best effect
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GENETIC ALGORITHM TO FIND OUT TURN ON ANGLE OF SRM
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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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通过遗传算法把随机点提取成曲线的程序，可以用来结合图论分析-Through the genetic algorithm to extract a random point process into a curve can be used to combine graph theory analysis
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基于遗传算法的研究的代码，利用的是C语言描述-Research based on genetic algorithm code, using the C language to describe
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一个非常好的PSO代码，和遗传算法完美结合，非常好用！-PSO a very good code, and genetic algorithm combination is very easy to use!
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基本遗传算法 里面的函数可自行更换 适合初学者 容易理解-A function of the basic genetic algorithm which can be suitable for beginners is easy to understand on their own replacement
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遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借
用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性
的提高。-Genetic Algorithm (Genetic Algorithm, GA) in recent years developed a brand new global optimization algorithm, which, by
With the biological point
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遗传算法是当前许多科学实验领域广泛应用的一种非线性并行算法.本文研究了遗传算法在数字图像的灰度图二值化中的应用 ,提出了一种新的灰度图二值化方法.该方法通过对每个子群体的优化计算和动态改进的适应度函数 ,确定新的分割阈值.实验验证该方法对于噪声干扰的一般质量图像有着良好的效果.-Genetic algorithm is currently widely used in many scientific experiments in the field of a nonlinear parallel
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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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给出了遗传算法的基本参数设置要求，包括交叉、变异、选择-Given the basic parameters of genetic algorithm to set demands, including the crossover, mutation, selection, etc.
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用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
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本程序用来实现对非线性函数求解优化程序的主要算法采用遗传算法实现-This procedure is used to achieve non-linear functions to solve optimization procedure using genetic algorithm main algorithms
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摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
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This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization al
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这是一个比较基础的遗传算法源代码，可以在此基础上根据个人的实际需要进行改动，希望有用！-This is a simple original code of genetic algorithm，you can adjust it according to your need。May it s helpful to you！！
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有关多目标优化问题的遗传算法的基本理论方法的硕士论文，相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means al
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遗传算法路径规划仿真,运用遗传算法仿真机器人路径规划问题，属于静态规划-Genetic algorithm path planning simulation, using genetic algorithms simulation robot path planning problem, belongs to the static planning
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