Name
Abstract | ||
|---|---|---|
Aiming at the problem of weapon target assignment when multiple weapon units on diverse battle platforms head off a group of targets, the mathematic model of this problem is established. A weapon target assignment method based on Artificial Fish Swarm Algorithm is proposed for solving the dynamic weapon target assignment problem, and a typical instance is designed for simulation experiment. The simulation results demonstrate that this method is superior in the condition of time restraint comparing with the Genetic Algorithm, and validate the effectiveness of employing the Artificial Fish Swarm Algorithm in resolving dynamic weapon target assignment problem. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34289-9_1 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Optimize,Weapon Target Assignment,Artificial Fish Swarm Algorithm | Weapon target assignment problem,Swarm behaviour,Computer science,Algorithm,Artificial intelligence,Machine learning,Genetic algorithm | Conference |
Volume | ISSN | Citations |
316 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengfei Wang | 1 | 0 | 0.34 |
| Zhaohui Zhang | 2 | 16 | 9.02 |
| Runping Xu | 3 | 0 | 0.34 |
| Ming Li | 4 | 0 | 0.34 |