Featured Research

from universities, journals, and other organizations

Air defense: Greedy algorithms best for multiple targets

Date:
December 9, 2010
Source:
Expertanswer (Expertsvar in Swedish)
Summary:
What algorithms should an air defense system work with? Particle swarm algorithms if there are ten targets to be hit. If there are more than ten targets, greedy algorithms work best.

What algorithms should an air defense system work with? Particle swarm algorithms if there are ten targets to be hit. If there are more than ten targets, greedy algorithms work best. These findings are presented by researcher Fredrik Johansson at the Informatics Research Centre, University of Skφvde, in Sweden.

Related Articles


So-called TEWA systems (Threat Evaluation & Weapon Allocation) are used to protect strategic targets from enemy attacks, such as an airfield that needs to be protected from incoming missiles.

The systems discover threats, evaluates the threats, and aims the defender's weapons system to be able to knock out the threat. The final decision to fire is then made by an operator.

Researcher Fredrik Johansson at the Informatics Research Centre, University of Skφvde, in Sweden, recently defended his doctoral thesis on algorithms for TEWA systems.

"In the existing research literature there are proposals regarding what algorithms may be appropriate to use in TEWA systems. I have developed methods to test which algorithms work best in practice," explains Fredrik Johansson.

Fredrik Johansson's study shows that what determines the choice of algorithm is the number of weapons in the TEWA system and the number of targets the system has to deal with. "So-called particle swarm algorithms are effective if it's a matter of up to about ten targets and ten weapons. If the TEWA system needs to keep track of more targets and weapons, we should use what are called greedy algorithms instead," says Fredrik Johansson.

A greedy algorithm -- simply put -- is fast but not perfect. The algorithm works under broad guidelines and does not test all the alternatives necessary to obtain an optimal solution. The fact that it doesn't need to test certain solutions makes it a rapid algorithm, a property that is crucial in a TEWA system.

"You can't let it take many seconds between the system discovering a threat and the operator deciding whether or not to fire," says Fredrik Johansson.

In previous studies TEWA systems have nearly always been treated as two parts: threat evaluation and weapon allocation separately. Fredrik Johansson's study is one of the first to see the system as a unit. But to claim that you are the first to study something may be difficult when it comes to TEWA systems.

"Those conducting research in this field don't always know what knowledge there is beneath the surface. There's probably some research about TEWA systems that is secret and not available to us ordinary researchers," concludes Fredrik Johansson.

About an Algorithm

An algorithm is a sequence of instructions for computations that solves a computational problem in a finite number of steps and thereby can constitute a basis for a computer program.


Story Source:

The above story is based on materials provided by Expertanswer (Expertsvar in Swedish). Note: Materials may be edited for content and length.


Cite This Page:

Expertanswer (Expertsvar in Swedish). "Air defense: Greedy algorithms best for multiple targets." ScienceDaily. ScienceDaily, 9 December 2010. <www.sciencedaily.com/releases/2010/12/101209074158.htm>.
Expertanswer (Expertsvar in Swedish). (2010, December 9). Air defense: Greedy algorithms best for multiple targets. ScienceDaily. Retrieved October 26, 2014 from www.sciencedaily.com/releases/2010/12/101209074158.htm
Expertanswer (Expertsvar in Swedish). "Air defense: Greedy algorithms best for multiple targets." ScienceDaily. www.sciencedaily.com/releases/2010/12/101209074158.htm (accessed October 26, 2014).

Share This



More Computers & Math News

Sunday, October 26, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Real-Life Transformer Robot Walks, Then Folds Into a Car

Real-Life Transformer Robot Walks, Then Folds Into a Car

Buzz60 (Oct. 24, 2014) — Brave Robotics and Asratec teamed with original Transformers toy company Tomy to create a functional 5-foot-tall humanoid robot that can march and fold itself into a 3-foot-long sports car. Jen Markham has the story. Video provided by Buzz60
Powered by NewsLook.com
Microsoft Riding High On Strong Surface, Cloud Performance

Microsoft Riding High On Strong Surface, Cloud Performance

Newsy (Oct. 24, 2014) — Microsoft's Q3 earnings showed its tablets and cloud services are really hitting their stride. Video provided by Newsy
Powered by NewsLook.com
The Best Apps to Organize Your Life

The Best Apps to Organize Your Life

Buzz60 (Oct. 23, 2014) — Need help organizing your bills, schedules and other things? Ko Im (@konakafe) has the best apps to help you stay on top of it all! Video provided by Buzz60
Powered by NewsLook.com
Nike And Apple Team Up To Create Wearable ... Something

Nike And Apple Team Up To Create Wearable ... Something

Newsy (Oct. 23, 2014) — For those looking for wearable tech that's significantly less nerdy than Google Glass, Nike CEO Mark Parker says don't worry, It's on the way. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins