Optimizing multi-agent dynamics for underwater tactical applications.

DSpace/Manakin Repository

BEARdocs is currently undergoing a scheduled upgrade. We expect the upgrade to be completed no later than Monday, March 2nd, 2015. During this time you will be able to access existing documents, but will not be able to log in or submit new documents.

Show simple item record

dc.contributor.advisor Marks, Robert J. Yu, Albert R.
dc.contributor.other Baylor University. Dept. of Electrical and Computer Engineering. en 2011-05
dc.description.abstract Large groups of autonomous agents, or swarms, can exhibit complex emergent behaviors that are difficult to predict and characterize from their low-level interactions. These emergent behaviors can have hidden implications for the performance of the swarm should the operational theater be perturbed. Thus, designing the optimal rules of operation for coordinating these multi-agent systems in order to accomplish a given task often requires simulations or expensive implementations. This thesis project examines swarm dynamics and the use of inversion to optimize the rules of operation of a large group of autonomous agents in order to accomplish missions of tactical relevance: specifically missions concerning underwater frequency-based standing patrols and point-defense between two competing swarms. Modified genetic algorithms and particle swarm optimization are utilized in the inversion process, producing various competing tactical responses and patrol behaviors. Swarm inversion is shown to yield effective and often creative solutions for guiding swarms of autonomous agents. en
dc.rights Baylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact for inquiries about permission. en
dc.subject Swarm intelligence. en
dc.subject Multi-agent systems. en
dc.subject Swarm inversion. en
dc.title Optimizing multi-agent dynamics for underwater tactical applications. en
dc.type Thesis en M.S.E.C.E. en
dc.rights.accessrights Worldwide access. en
dc.rights.accessrights Access changed 6/26/13.
dc.contributor.department Engineering. en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search BEARdocs

Advanced Search


My Account