搜索资源列表
pso-multiobjective
- 多目标优化的例证，用粒子群算法做的。调试过，没问题，能用。-multi-objective ,PSO
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
PSO
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
pso
- 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
Multiobjective-pso
- 多目标问题的粒子群优化算法实现，毕设时设计的，通过运行！-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
pso
- 求解多维无约束优化问题，收敛速度快，程序代码简洁。-Solving multi-dimensional unconstrained optimization problem, fast convergence, concise code.
mimo-ofdm-pso
- 多用户MIMO-OFOM系统中的资源分配研究。 本文主要提出了两种基于多用户MIMO一OFDM系统的优化算法 -Multi-user MIMO-OFOM systems research resource allocation. In this paper, we propose two multi-user MIMO-based OFDM system, a optimization algorithm
PSO
- 多AGENT粒子群算法，利用VC++实现-Multi-particle swarm optimization AGENT
opt4j-2.0
- Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
based-PSO
- PSO源程序，可以任意优化两维数据点和多维数据点，在优化多维数据时，要将初始矩阵变成多维矩阵-PSO source code, you can optimize an arbitrary two-dimensional data point and multi-dimensional data points, in the optimization of multi-dimensional data, to the initial matrix into a multi-dimensional
pso
- pso算法，比较好的算法，简单，可以用于多目标优化-pso algorithm, a better algorithm, simple and can be used for multi-objective optimization
Multi-group-cooperative-PSO-algorithm-for-solving-
- 多群协同PSO优化算法的WTA问题求解Multi-group cooperative PSO algorithm for solving the WTA problem-Multi-group cooperative PSO algorithm for solving the WTA problem
PSO
- 粒子群优化算法的源程序代码 经验证是可行的-Personal collection of a directed acyclic graph support vector machine for multi-classification problems
pso
- 对微粒群算法结构的改进方案有很多种，对其可分类为：采用多个子种群；改进微粒学习对象的选取策略；修改微粒更新迭代公式；修改速度更新策略；修改速度限制方法、位置限制方法和动态确定搜索空间；与其他搜索技术相结合；以及针对多模问题所作的改进。-Structure of the particle swarm algorithm to improve the program there are many, its can be classified as: the use of multiple sub-p
NSGA
- matlab编写的基于粒子群优化算法的多目标优化，可以处理电力系统优化问题-matlab write PSO-based multi-objective optimization, can handle the power system optimization problems
pso-svm one output
- 实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)
pso-svm one output
- The pso-svm program implements multi-input single output
pso
- 一种基于粒子群算法的解决遍历多城市最短路径的算法，基于matlab开发平台，使用m语言编程的(For solving the minimum distance about traveling around multi-cities, we developed this algorithm based on PSO. Using m language and programming on matlab platform.)
2017 PSO multi-objective cascade
- 2017 Fusing feasible search space into PSO for multi-objective cascade reservoir optimization
标准pso代码-鲁
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti