搜索资源列表
CDAPSO
- 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : C
CDAPSO
- 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : C
psot
- 粒子群算法工具包，包括动态环境的寻优，还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process
pso_2D
- 很好地二维粒子群寻优算法以及其寻优过程的动态演示。-To two-dimensional particle swarm optimization algorithm and the dynamic presentation of its optimization process....
DEOABODPSO
- 人工智能的经典算法：基于动态粒子群算法的动态环境寻优算法-Classic artificial intelligence algorithms: dynamic particle swarm optimization-based dynamic environment optimization algorithm
PSO_DynamicEnvironment
- PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。-PSO_DynamicEnvironment solve dynamic environment particle swarm optimiz
PSO_modifiedPSO
- 实现动态环境寻优，改进的粒子群算法,迭代1200次，有完整的收敛曲线-Achieve dynamic environment optimization, improved particle swarm algorithm, iterative 1200, a complete convergence curve
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynami
dontailiziqun_matlab
- 基于动态粒子群算法的环境寻优算法源码及相关例程-Dynamic particle swarm optimization algorithm source environment and related routines
动态粒子群
- 基于动态粒子群算法的动态环境寻优问题，粒子群算法在复杂环境下的编程实例。(Dynamic environment optimization problem based on dynamic particle swarm optimization algorithm, particle swarm optimization programming examples in complex environment.)
基于动态粒子群算法的动态环境寻优算法
- 动态粒子群寻优算法，且通过matlab代码来实现(Dynamic particle swarm optimization algorithm, and realized through MATLAB code)