Name
Title | ||
|---|---|---|
A Cooperative Control Framework for a Collective Decision on Movement Behaviors of Particles. |
Abstract | ||
|---|---|---|
This paper deals with the problem of odor source localization by designing and analyzing a cooperative control framework (CCF) for the particle swarm optimization (PSO) algorithm. The CCF consists of three items: 1) a position coordination item; 2) a velocity coordination item; and 3) a movement direction coordination item. The position coordination item is used to coordinate relative positions be... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TEVC.2016.2526656 | IEEE Transactions on Evolutionary Computation |
Keywords | Field | DocType |
Algorithm design and analysis,Particle swarm optimization,Robot kinematics,Animals,Control theory,Heuristic algorithms | Particle swarm optimization,Collective decision,Mathematical optimization,Algorithm design,Odor source localization,Stability conditions,Algorithm,Robot kinematics,Artificial intelligence,Dynamical system,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 6 | 1089-778X |
Citations | PageRank | References |
3 | 0.40 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Lu | 1 | 27 | 3.84 |
| Qing-Long Han | 2 | 6396 | 315.39 |
| Shirong Liu | 3 | 7 | 0.96 |