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The artificial immune system with evolved lymphocytes

Dissertation (MSc (Computer Science))--University of Pretoria, 2007.

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Other Authors: Engelbrecht, Andries P.
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Engelbrecht, Andries P.
author_browse Engelbrecht, Andries P.
author_facet Engelbrecht, Andries P.
collection Thesis
dc_rights_str_mv © 2003, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Computer Science))--University of Pretoria, 2007.
format Thesis
id oai:repository.up.ac.za:2263/26053
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:39:42.090Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/26053 The artificial immune system with evolved lymphocytes Engelbrecht, Andries P. upetd@up.ac.za Graaff, A.J. (Alexander Jakobus) Positive selection Mature Memory Self Genetic algorithms Classification system Negative selection Artificial lymphocytes Non-self Affinity distance threshold Artificial immune system Life counter transition function UCTD Dissertation (MSc (Computer Science))--University of Pretoria, 2007. The main purpose of the natural immune system is to protect the body against any unwanted foreign cells that could infect the body and lead to devastating results. The nature immune system has different lymphocytes to detect and destroy these unwanted foreign patterns. The natural immune system can be modeled into an artificial immune system that can be used to detect any unwanted patterns in a non-biological environment. One of the main tasks of an immune system is to learn the structure of these unwanted patterns for a faster response to future foreign patterns with the same or similar structure. The artificial immune system (AIS) can therefore be seen as a pattern recognition system. The AIS contains artificial lymphocytes (ALC) that classify any pattern either as part of a predetermined set of patterns or not. In the immune system, lymphocytes have different states: Immature, Mature, Memory or Annihilated. Lymphocytes in the annihilated state needs to be removed from the active set of ALCs. The process of moving from one state to the next needs to be controlled in an efficient manner. This dissertation presents an AIS for detection of unwanted patterns with a dynamical active set of ALCs and proposes a threshold function to determine the state of an ALC. The AIS in the dissertation uses evolutionary computation techniques to evolve an optimal set of lymphocytes for better detection of unwanted patterns and removes ALCs in the annihilated state from the active set of ALCs. Computer Science unrestricted 2013-09-07T02:18:07Z 2007-07-04 2013-09-07T02:18:07Z 2003-11-10 2007-07-04 2007-07-04 Dissertation Graaff, A 2003, The artificial immune system with evolved lymphocytes, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26053 > http://hdl.handle.net/2263/26053 http://upetd.up.ac.za/thesis/available/etd-07042007-140930/ © 2003, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Positive selection
Mature
Memory
Self
Genetic algorithms
Classification system
Negative selection
Artificial lymphocytes
Non-self
Affinity distance threshold
Artificial immune system
Life counter transition function
UCTD
The artificial immune system with evolved lymphocytes
title The artificial immune system with evolved lymphocytes
title_full The artificial immune system with evolved lymphocytes
title_fullStr The artificial immune system with evolved lymphocytes
title_full_unstemmed The artificial immune system with evolved lymphocytes
title_short The artificial immune system with evolved lymphocytes
title_sort artificial immune system with evolved lymphocytes
topic Positive selection
Mature
Memory
Self
Genetic algorithms
Classification system
Negative selection
Artificial lymphocytes
Non-self
Affinity distance threshold
Artificial immune system
Life counter transition function
UCTD
url http://hdl.handle.net/2263/26053
http://upetd.up.ac.za/thesis/available/etd-07042007-140930/