搜索资源列表
constrained Kmeans
- constrained kmeans algorithm
PSO_constrian.rar
- PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。,PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of.
GAOptimization.rar
- 我改写的多变量带约束的遗传算法Matlab源程序！,Multi-variable Constrained Optimization by GA in Matlab!!!
DGPSO.rar
- 用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数，均能得到问题最优解。如有任何疑问，请于http://2shi.phphube
psoprogress.rar
- ％程序名称：求解约束优化问题的改进粒子群优化算法 ％程序功能：求解带各种约束条件的优化问题 ％输入条件：各种初始条件，以及设定参数 ％输出数值：最优解位置以及函数极小值 , Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features: solving with a variety of constr
Constrained_PSO_operator
- 带约束算子的粒子群算法，希望对大家的学习研究有所帮助。-Constrained PSO operator, we want to study and research help.
GeneticAlgorithmxujinpeng
- 这个算法采用遗传算法（实数编码），可以找到带有约束和无约束函数的最大值 。遗传算法的表现也通过后代的数量绘制出来。-This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations
cICA
- cICA code for the constrained ICA algorithm
ICA_with_Reference
- We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear mixtures when some a priori information of the sources are available in the form of rough templates (references). T
zkim-itsc06-vehicle
- 实时障碍物识别 Realtime Obstacle Detection and Tracking Based on Constrained Delaunay Triangulation-Real-time obstacle identification Realtime Obstacle Detection and Tracking Based on ConstrainedDelaunay Triangulation
PUNISH
- 这个是优化方法中的一种方法，叫做罚函数法，是一种用于带约束条件的优化。-This optimization method is a method, called the penalty function method, is a condition for constrained optimization.
crosspso
- 带交叉因子的粒子群MATLAB算法程序，可实现带约束变量的微粒群算法-With cross-factor PSO algorithm MATLAB procedures, can be constrained variable particle swarm optimization
Constrained_Optimization_and_Lagrange_Multiplier_M
- 一本介绍约束优化方面的经典书籍。对于从事约束优化算法的研究很有帮助。-A book introducing constrained programming. It is beneficial for the algorithm research of constrained programming
presentation
- WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a manner so as to ensure maximum coverage and connectivity with minimal or optimal number of nodes and furthermore elongate network lifetime with maximum e
modified_PSO
- this modified PSO algorithm can solve for constrained optimization problem
An_SQP_Augmented_Lagrangian_BFGS_Algorithm_for_Co
- An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization
DeblurringImagesUsingaRegularizedFilter
- Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square
GEneticalgorithmforNumericalOptimizationforCOnstr
- GENOCOP (GEnetic algorithm for Numerical Optimization for COnstrained Problems). This system is optimizing any function with any number of linear constraints (equalities and inequalities).
GMM-GMR-v2.0
- In statistics, a mixture model is a probabilistic model for density estimation using a mixture distribution. A mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for compo
Constrained Optimization
- In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objectiv