Name
Title | ||
|---|---|---|
An Analysis of the Behavior of Original Discrete Binary Particle Swarm Optimization on Trap Functions |
Abstract | ||
|---|---|---|
Binary particle swarm optimization (BPSO) is the discrete binary version of particle swarm optimization (PSO) which is based on a metaphor of social behavior of birds and is a new kind of evolutionary computation paradigm. As BPSO has been successfully applied in a wide range of real-world application fields and some BPSO variants have been proposed, there is a need to guide these two aspects in theory. In this paper, experimental methods are developed to analyze the behavior of BPSO on trap functions and the influence of deceptiveness on BPSO's search behavior is presented. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CSSE.2008.894 | CSSE (1) |
Keywords | Field | DocType |
eficiently coding,particle swarm optimisation,evolutionary computation paradigm,infrared remote image,search problems,original discrete binary particle,bird social behavior,discrete binary particle swarm optimization,swarm optimization,trap functions,infrared image,search behavior,social behavior,evolutionary computing,particle swarm optimization,evolutionary computation,optimization,computational modeling,software engineering | Particle swarm optimization,Computer science,Binary particle swarm optimization,Evolutionary computation,Artificial intelligence,Machine learning,Binary number | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3336-0 | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing Xu | 1 | 20 | 4.05 |
| Yuanxiang Li | 2 | 245 | 51.20 |
| Yu Wu | 3 | 420 | 63.58 |
| Shenlin Fang | 4 | 0 | 0.34 |
| Hao Hu | 5 | 20 | 7.76 |