By Topic

Swarm intelligence: theoretical proof that empirical techniques are optimal

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Iourinski, D. ; Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA ; Starks, S.A. ; Kreinovich, V. ; Smith, S.F.

A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).

Published in:

Automation Congress, 2002 Proceedings of the 5th Biannual World  (Volume:13 )

Date of Conference:

2002