搜索资源列表
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
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
PSO-extremum-optimization-algorithm
- 基于粒子群优化算法的非线性函数极值寻优,这里的适应度函数为Ackley函数，适应度值为函数值。根据初始粒子适应度值确定个体极限和群体极限。-Nonlinear function based on particle swarm optimization extremal optimization, where the fitness function for the Ackley function, the value of the fitness function value. Accordin
pso
- 人工智能的相关问题，解决粒子群优化算法，非常重要的哦-man intelligence particle swarm algorithm，very important
pso
- 粒子群优化算法（可以应用在寻优建模过程中）-Particle Swarm Optimization (can be applied in the modeling process optimization)
P13-ParticleSwarmOptimization
- MATLAB最优化计算\第13章 粒子群优化算法-failed to translate
Study-on-the-method
- 粒子群优化算法是自1995年正式提出以来不断兴起和壮大的一种新的优化问题解决方案，它的概念简单且易于实现-PSO is formally proposed since 1995 continuously since the rise and growth of a new optimization solutions to problems, it is conceptually simple and easy to implement
pso_youhua
- 粒子群优化算法是一种基于群体智能的演化计算技术，通过粒子在解空间追随最优的例子进行搜索-Particle swarm optimization algorithm is a kind of evolutionary computation technique based on swarm intelligence, through particles in the solution space to search for the optimal example
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
fish
- c++语言实现鱼群算法，使用粒子群优化算法给出-Fish algorithm c++ language, the use of particle swarm optimization algorithm is given
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
matlabnerve
- matlab神经网络，基因算法和粒子群优化算法-Matlab neural network, genetic algorithm and particle swarm optimization algorithm
PSO-SVM
- 粒子群优化算法优化支持向量机（PSO-SVM)-Particle swarm optimization algorithm optimize the SVM
PSO
- 粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
chapter15_PSO
- svm 的参数优化，利用pso(粒子群优化算法)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 pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better impr
粒子群算法的寻优算法-非线性函数极值寻优
- 使用粒子群优化算法实现函数最优值的求解，并对参数进行优化。(The particle swarm optimization algorithm is used to solve the optimal value of the function, and the parameters are optimized.)
sample2-Rastrgrin
- 粒子群优化算法，通过运用粒子群算法优化函数。(Particle swarm optimization algorithm, through the use of particle swarm optimization function)
main
- 采用多目标粒子群算法求解多目标背包问题 问题：假设存在五类物品，每类物品又包含四种具体物品，要求从五类物品中分别选择一种放入背包，使得背包总价值最大，总体积最小，总质量不超过92kg(The problem is solved by multi objective particle swarm optimization algorithm, multi-objective knapsack problem: suppose there are five categories of goods,
粒子群优化算法
- 粒子群算法优化程序，包含多种不同优化设置(Particle swarm optimization program, including a variety of settings.)
SSA
- 最新的群智能优化算法，比粒子群算法好很多，方便在基础上进行修改，并且还有文档可以查看原理，略经修改，可以用在任何优化问题上，很好的算法，实在难得(The latest swarm intelligence optimization algorithm is much better than particle swarm optimization algorithm. It is convenient to modify on the basis of it. There are also doc