Progressive bacterial algorithm
The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of t...
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creator | Gal, L. Lovassy, R. Koczy, L. T. |
description | The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of the Bacterial Evolutionary and former Bacterial Memetic Algorithms. It is shown, in case of multidimensional reference problems, by comparing with existing methods, that an efficient and fast convergent tool is obtained. |
doi_str_mv | 10.1109/CINTI.2012.6496782 |
format | Conference Proceeding |
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T.</creatorcontrib><title>Progressive bacterial algorithm</title><title>2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)</title><addtitle>CINTI</addtitle><description>The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of the Bacterial Evolutionary and former Bacterial Memetic Algorithms. 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T.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gal, L.</au><au>Lovassy, R.</au><au>Koczy, L. T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Progressive bacterial algorithm</atitle><btitle>2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)</btitle><stitle>CINTI</stitle><date>2012-11</date><risdate>2012</risdate><spage>317</spage><epage>322</epage><pages>317-322</pages><isbn>1467352055</isbn><isbn>9781467352055</isbn><eisbn>9781467352062</eisbn><eisbn>1467352101</eisbn><eisbn>9781467352109</eisbn><eisbn>1467352063</eisbn><abstract>The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of the Bacterial Evolutionary and former Bacterial Memetic Algorithms. It is shown, in case of multidimensional reference problems, by comparing with existing methods, that an efficient and fast convergent tool is obtained.</abstract><pub>IEEE</pub><doi>10.1109/CINTI.2012.6496782</doi><tpages>6</tpages></addata></record> |
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title | Progressive bacterial algorithm |
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