Name
Abstract | ||
|---|---|---|
Threat assessment is an important part of level 3 data fusion. Here we study a subproblem of this, worst- case risk assessment. Inspired by agent-based models used for simulation of trail formation for urban planning, we use ant colony optimization (ANTS) to determine possible av- enues of approach for the enemy, given a situation picture. One way of determining such avenues would be to cal- culate the "potential field" caused by placing sources at possible goals for the enemy. This requires postulating a functional form for the potential, and also takes long time. Here we instead seek a method for quickly obtaining an ef- fective potential. ANTS, which has previously been used to obtain approximate solutions to various optimization prob - lems, is well suited for this. The output of our method de- scribes possible avenues of approach for the enemy, i.e, ar- eas where we should be prepared for attack. (The algorithm can also be run "reversed" to instead get areas of opportu- nity for our forces to exploit.) Using real geographical data, we found that our method gives a fast and reliable way of determining such avenues. Our method can be used in a computer-based command and control system to replace the first step of human intelligenc e analysis. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICIF.2003.177362 | Information Fusion, 2003. Proceedings of the Sixth International Conference of |
Keywords | DocType | Volume |
ant colony optimization,functional form,urban planning,data fusion,risk assessment,swarm intelligence | Journal | 2 |
ISSN | ISBN | Citations |
Proc 6th Int Conf Information Fusion, Cairns, p 1110 (2003) | 0-9721844-4-9 | 1 |
PageRank | References | Authors |
0.43 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pontus Svenson | 1 | 149 | 22.31 |
| Hedvig Sidenbladh | 2 | 740 | 91.76 |