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  5. Design and Simulation of Self-Organizing Microbial Cellular Automata
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Design and Simulation of Self-Organizing Microbial Cellular Automata

Date Issued
May 1, 2002
Author(s)
Campfield, Michael Patrick
Advisor(s)
Bruce MacLennan
Additional Advisor(s)
Stacy Prowell
Michael Berry
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/37959
Abstract

This paper discusses the design and implementation of cellular automata based on the alteration of genetic sequences in bacteria. The work is composed of five chapters covering the problem, the system’s design, the software simulation of the system and future issues on the problem. The section covering the problem explores the reasons for this work as well as issues that this work solves. The section covering system design details the modified genetic sequences and the algorithm that these sequences implement. The simulation section describes the layout of an experiment along with the test cases experimented on. Finally, the future work section points out lacking information from the work or possible difficulties this solution reveals.

Disciplines
Computer Sciences
Degree
Master of Science
Major
Computer Science
Embargo Date
May 1, 2002
File(s)
Thumbnail Image
Name

CampfieldMichael.pdf

Size

283.44 KB

Format

Adobe PDF

Checksum (MD5)

31ab7edfb224bebcee273698c7e9dd42


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