Masters Theses


Ryan J. Meuth


"This thesis explores the problem of optimizing the behavior of a swarm of heterogeneous agents executing a search area coverage task. Each agent is equipped with a sensing apparatus and the swarm must collectively explore a partially occluded environment to obtain a required probability of observation for each location in the search area. The problem is further complicated with the introduction of dynamic agent and environmental properties making adaptability a necessary requirement. Novel methods for search space discretization and task allocation are presented. Additionally modifications are made to conventional path optimization methods to account for the mobility characteristics of an agent following a path. A mission planning architecture is presented that incorporates these techniques to provide adaptive multi-vehicle search coverage optimization for heterogeneous vehicles"--Abstract, page iii.


Wunsch, Donald C.

Committee Member(s)

Vian, John L.
Nelson, Michael


Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering


University of Missouri--Rolla

Publication Date

Spring 2007


viii, 45 pages

Note about bibliography

Includes bibliographical references (pages 40-44).


© 2007 Ryan James Meuth, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Subject Headings

Constraint programming (Computer science)
Mathematical optimization
Swarm intelligence

Thesis Number

T 9308

Print OCLC #


Link to Catalog Record

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