FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR
The main goal of the immune system is to protect an organism against pathogens. To be able to recognize unknown (i.e. never seen) pathogens, the immune system applies a number of methods allowing to maintain sufficient diversity of its receptors. The most important methods are clonal selection and...
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| Format: | Article |
| Language: | English |
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Gdańsk University of Technology
2002-07-01
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| Series: | TASK Quarterly |
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| Online Access: | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2247 |
| _version_ | 1811307606556278784 |
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| author | SŁAWOMIR T. WIERZCHOŃ |
| author_facet | SŁAWOMIR T. WIERZCHOŃ |
| author_sort | SŁAWOMIR T. WIERZCHOŃ |
| collection | DOAJ |
| description |
The main goal of the immune system is to protect an organism against pathogens. To be able to recognize unknown (i.e. never seen) pathogens, the immune system applies a number of methods allowing to maintain sufficient diversity of its receptors. The most important methods are clonal selection and suppression of ineffective receptors. In effect the immune system admits maturation affinity property: during its functioning it continuously improves its ability to recognize new types of pathogens. This idea had found many interesting computer-oriented applications. In this paper a simple and easy to implement algorithm for multi-modal as well as non-stationary functions optimization is proposed. It is based on clonal selection and cells suppression mechanisms. Empirical results confirming its usability for uni-, multi-modal and non-stationary functions optimization are presented, and a review of other immunity based approaches is given.
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| first_indexed | 2024-04-13T09:07:18Z |
| format | Article |
| id | doaj.art-fd7ee77277a649efb8bc63c5f237f182 |
| institution | Directory Open Access Journal |
| issn | 1428-6394 |
| language | English |
| last_indexed | 2024-04-13T09:07:18Z |
| publishDate | 2002-07-01 |
| publisher | Gdańsk University of Technology |
| record_format | Article |
| series | TASK Quarterly |
| spelling | doaj.art-fd7ee77277a649efb8bc63c5f237f1822022-12-22T02:52:57ZengGdańsk University of TechnologyTASK Quarterly1428-63942002-07-0163FUNCTION OPTIMIZATION BY THE IMMUNE METAPHORSŁAWOMIR T. WIERZCHOŃ0Polish Academy of Sciences, Institute o Computer Science; Technical University of Bialystok, Department of Computer Science The main goal of the immune system is to protect an organism against pathogens. To be able to recognize unknown (i.e. never seen) pathogens, the immune system applies a number of methods allowing to maintain sufficient diversity of its receptors. The most important methods are clonal selection and suppression of ineffective receptors. In effect the immune system admits maturation affinity property: during its functioning it continuously improves its ability to recognize new types of pathogens. This idea had found many interesting computer-oriented applications. In this paper a simple and easy to implement algorithm for multi-modal as well as non-stationary functions optimization is proposed. It is based on clonal selection and cells suppression mechanisms. Empirical results confirming its usability for uni-, multi-modal and non-stationary functions optimization are presented, and a review of other immunity based approaches is given. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2247artificial immune systemsmulti-modal optimizationnon-stationary functions optimizationimmune memoryclonal selectionaffinity maturation |
| spellingShingle | SŁAWOMIR T. WIERZCHOŃ FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR TASK Quarterly artificial immune systems multi-modal optimization non-stationary functions optimization immune memory clonal selection affinity maturation |
| title | FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR |
| title_full | FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR |
| title_fullStr | FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR |
| title_full_unstemmed | FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR |
| title_short | FUNCTION OPTIMIZATION BY THE IMMUNE METAPHOR |
| title_sort | function optimization by the immune metaphor |
| topic | artificial immune systems multi-modal optimization non-stationary functions optimization immune memory clonal selection affinity maturation |
| url | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2247 |
| work_keys_str_mv | AT sławomirtwierzchon functionoptimizationbytheimmunemetaphor |