搜索资源列表
微粒群算法_1
- 此为有关粒子群算法的比较权威的书，内部由关于此算法的C源程序-here for the PSO algorithm authoritative book on the internal algorithm from the C source
yypso
- 向大家推荐非常好的粒子群优化算法讲解，简单、易懂。-we recommend to you a very good PSO algorithm brief, simple, easy to understand.
ParticleSwarmOptimization(PSO)Primer
- 本文是关于粒子群算法(pso)的介绍和相关MATLAB源程序,是智能天线权值优化方面的一种很前沿的算法-paper on the PSO (pso) related to the introduction and MATLAB source. Smart Antenna is the right optimization of a very forefront of the algorithm
zgfbpso
- 离散二进制粒子群优化算法，非常热门的新算法，给出几个函数实例，供大家参考-discrete binary PSO algorithm, a very popular new algorithm, gave a few examples of function, for your reference
DPSO
- c++pso程序，用6个基本函数验证的粒子群算法程序-c pso procedures, with six basic functions of the certification process PSO
randpso
- 粒子群算法是同蚁群算法相似的群体智能算法，其基本思想是模拟自然界的群体行为来构造随机化算法，本程序是随机粒子群算法源代码，可以直接运行，针对不同的问题，只要稍加修改就可以马上使用，希望能对大家有点帮助。-PSO with the ant algorithm is similar groups intelligent algorithm, The basic idea is to simulate natural behavior gro
PSO-evolutionarycomputation
- 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比
vc_pso
- vc++版本的粒子群优化算法程序,该算法使用简单,收敛快速,是遗传算法之后的又一重要智能算法.-vc++ version of particle swarm optimization procedure, the algorithm uses a simple, rapid convergence, after the genetic algorithm is another important intelligent algorith
vc-pso
- 基于粒子群优化算法，通过多次叠代查找函数的最优项目-Based on Particle Swarm Optimization, through multiple iterations to find the optimal function of the project
GS_CH_PSO1.1_discrete1.0_2007830
- 基于粒子群优化与灰色系统理论的多目标优化程序，很好用-Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use
swarm
- 这是最新的粒子群优化工具箱，可以作为标准子函数来使用。-This is the latest of the particle swarm optimization toolbox, Functions can be used as a standard.
liziqun
- 粒子群优化算法，最经典的原始MATLAB算法，执行效率高-Particle swarm optimization algorithm, the most classic of the original MATLAB algorithm, the implementation of high efficiency