Name
Abstract | ||
|---|---|---|
Application of autonomous intelligent systems into airspace domain is very important nowadays. The paper presents decentralized collision avoidance algorithm utilizing a solution of the defined optimization problem where efficiency criteria, collision penalties and airplanes’ missions are integrated in an objective function. Two different implementation approaches used for stochastic Probability Collectives optimizer are presented and evaluated – a complex distributed multi-agent deployment among participating airplanes and the Process Integrated Mechanism inspired architecture. Both approaches have been validated and evaluated on the multi-agent framework AGENTFLY providing precise simulation for airspace operations. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WI-IAT.2009.180 | IAT |
Keywords | Field | DocType |
collision penalty,cooperating airplanes,optimization-based collision avoidance,airspace domain,efficiency criterion,autonomous intelligent system,different implementation,airspace operation,multi-agent framework agentfly,multi-agent deployment,collision avoidance algorithm,process integrated mechanism,intelligent agent,cognition,optimal control,multi agent system,process integration,angular velocity,optimization problem,objective function,stochastic processes | Data mining,Intelligent agent,Software deployment,Optimal control,Intelligent decision support system,Computer science,Simulation,Collision,Airspace class,Multi-agent system,Optimization problem,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sislak | 1 | 22 | 3.24 |
| Premysl Volf | 2 | 35 | 6.16 |
| Michal Pěchouček | 3 | 1134 | 133.88 |
| Niranjan Suri | 4 | 730 | 110.34 |
| David Nicholson | 5 | 0 | 0.34 |
| David Woodhouse | 6 | 0 | 0.34 |