Name
Abstract | ||
|---|---|---|
This paper developed an integrated algorithm for the general multi-agent coordination problem in a networked system that is featured by (1) no top-level coordinator; (2) subsystems operate as cooperative units. Through the mapping of such a networked system with human immune system which maintains a set of immune effectors with optimal concentration in the human body through a network of stimulatory and suppressive interactions, we designed a cooperative interaction scheme for a set of intelligent solvers, solving those sub-problems resulted from relaxing complicated constraints in a general multi-agent coordination problem. Performance was investigated by solving a resource allocation problem in distributed sensor networks. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22371-6_16 | ICARIS |
Keywords | Field | DocType |
immune effectors,resource allocation problem,ais-based mathematical programming method,integrated algorithm,complicated constraint,human immune system,cooperative interaction scheme,general multi-agent coordination problem,networked system,cooperative unit,human body,lagrangian relaxation,artificial immune systems | Coordination game,Artificial immune system,Mathematical optimization,Cooperative interaction,Computer science,Resource allocation,Lagrangian relaxation,Wireless sensor network | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven Y. P. Lu | 1 | 1 | 0.73 |
| Henry Y. K. Lau | 2 | 164 | 31.98 |