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PSO_Algorithm
- PSO’s precursor was a simulator of social behavior, that was used to visualize the movement of a birds’ flock. Several versions of the simulation model were developed, incorporating concepts such as nearest-neighbor velocity matching and accele
Clerc_seminar_15122004
- Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The PSO is a population based search algorithm based on the simulation of
Swarm_Intelligence_GCOE08_ver002
- 主要是关于一些粒子演算法的思想及如何进行分析。并且粒子演算法的一些衍生算法- PSO is a recently proposed algorithm, motivated from the simulation of social behavior. PSO is based on the evolutionary computation technique.
The-learning-system-of-collective-behavior-in-stu
- The learning system of collective behavior in students social
Abnormal-Crowd-Behavior-Detection-
- 通过利用社会力学，对已有的人群异常行为检测方法进行优化-Abnormal Crowd Behavior Detection by Social Force Optimization
MOPSO-MATLAB
- 多目标粒子群算法是模拟动物群体的社会行为，找到一个最优设计点的过程比作这些生物的觅食活动。换句话说，这些例子在设计空间中寻找最好的位置。-Multi-objective Particle Swarm social behavior is simulated animal groups, a process to find the optimal design point likened foraging activity of these organisms. In other words, t