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MATLAB-ge-zhong-you-hua
- 无约束一维、多维极值，约束优化问题，粒子群优化算法，遗传优化算法-Unconstrained one-dimensional, multi-dimensional extremal constrained optimization problem, particle swarm optimization, genetic optimization algorithm
chengxu
- Matlab利用BP神经网络和遗传算法对煤在锅炉内的燃烧率及一（儿）氧化氮的排放量进行优化，以获得最优的燃烧率和最少的氧化氮排放-Matlab using BP neural networks and genetic algorithms on coal in the boilers and the combustion rate of one (child) oxide emissions are optimized to obtain optimal combustion rate and
mastering_matlab
- 精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 -The main contents of the book is the
matlab-sf
- 这是一个现代优化算法的经典例子结合。比如遗传算法，免疫算法等。-This is a classic example of modern optimization algorithms combined. Such as genetic algorithms, immune algorithms.
optimization-program
- 无约束一维极值/无约束多维极值/约束优化/非线性最小二乘优化/线性规划/整数规划/二次规划/遗传优化算法等对应的matlab程序-Unconstrained one-dimensional extremal/unconstrained multidimensional the pole/constrained optimization/nonlinear least squares optimization/linear programming/integer programming/Quadr
EA
- 使用遗传算法、粒子群优化算法和量子遗传算法对认知无线网络进行频谱分配-Using genetic algorithms, particle swarm optimization algorithm and quantum genetic algorithm for spectrum allocation in cognitive radio networks
The-genetic-optimization-algorithm
- 精通MATLAB最优化计算的机械优化设计的遗传优化算法,-The genetic optimization algorithm
AdapGA
- 这个源代码是关于遗传优化算法的源代码，里面注释很清楚-This source code is on the genetic optimization algorithm source code, which is very clear comments
MPGA
- 多种群遗传算法的函数优化算法,整个程序代码讲的非常详细，分享给大家希望可以对大家有帮助！-Multi-population genetic algorithm function optimization algorithm, the entire program code in a very detailed, we hope to share with all of you can help!
genetic-algorithm-mutiple-target
- matlab智能算法基于遗传算法的多目标优化算法(此例中有两个目标函数）-genetic algorithm to solve multiple target problems
genetic-algorithms
- 智能优化算法—基因遗传算法解旅行商路径最短-Intelligent optimization algorithms- Genetic Algorithm for TSP
PSO_about
- 粒子群算法matlab代码吐血推荐。粒子群算法，也称粒子群优化算法，是近年来发展起来的一种新的进化算法。它是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab cod
Genetic-optimization
- 以matlab为平台的遗传优化算法，包括SBOGA、GMGA等。-Genetic optimization
GA
- 完整的遗传优化算法，基本的过程，详细的注释，非常适合初学者。-The complete genetic optimization algorithm, the basic process, detailed notes, very suitable for beginners.
GeneAlgorithm
- 现代优化算法包括 遗传算法 退火算法.代码基于matlab 可以直接运行，有图示说明-Modern optimization algorithms, including genetic algorithm annealing algorithm code based on Matlab can be directly run, there is illustrated
chapter15_GA
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
gaSVMcgForClass
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
genetic
- 遗传算法30个基本案例的第一题，我把工具箱也放进了里面，以便更好的运行代码，一元函数的遗传算法优化(Optimization of unary function by genetic algorithm)
bp
- bp神经网络优化数据参数的目的，并和遗传算法做比较(bp neural network optimization data parameter purposes, bp neural network data parameter optimization purposes.)
基于遗传算法的LQR控制器优化设计
- 基于遗传算法的LQR控制器优化设计，可以满足LQR控制器的基本需求，并在此基础上对系统功能进行了进一步完善，具有极大的参考意义。(The optimized design of the LQR controller based on the genetic algorithm can meet the basic requirements of the LQR controller. Based on this, the system functions are further improved