Based on Particle Swarm Optimization algorithm for
2016-08-23
1 0 0
no vote
Other
Earn points
General Particle Swarm algorithm cannot perceive the external environment changes, respond to the external environment is not readily changed, and thus lack a dynamic environment optimization capability. General Particle Swarm Optimization algorithm by adding sensitive particles are basically a dynamic Particle Swarm algorithm the algorithm by calculating in real time-sensitive particles fitness and perceived changes in the external environment, when the external environment changes exceeds a certain threshold algorithm for proportionally update speed and particle accordingly, which has a dynamic environment optimizing functions. This case study is based on Particle Swarm Optimization algorithm for dynamic environments.
matlab
基于
动态
粒子
算法
环境
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment