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Parallel Grammatical Evolution with Backward Processing
This paper describes parallel grammatical evolution (PGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur form grammar definition. To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested....
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creator | Osmera, P. Popelka, O. Pivonka, P. |
description | This paper describes parallel grammatical evolution (PGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur form grammar definition. To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested. The significance of backward coding (BC) and the comparison with standard coding of GEs is presented. BC can speed up grammatical evolution with high quality features. The adaptive significance of parallel grammatical evolution with "male" and "female" populations has been studied |
doi_str_mv | 10.1109/ICARCV.2006.345302 |
format | conference_proceeding |
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To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested. The significance of backward coding (BC) and the comparison with standard coding of GEs is presented. BC can speed up grammatical evolution with high quality features. The adaptive significance of parallel grammatical evolution with "male" and "female" populations has been studied</description><identifier>ISBN: 1424403413</identifier><identifier>ISBN: 9781424403417</identifier><identifier>DOI: 10.1109/ICARCV.2006.345302</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automation ; backward processing ; Bioinformatics ; Computer science ; Evolution (biology) ; Genetic programming ; Genomics ; grammatical evolution ; Mechanical engineering ; Paper technology ; parallel evolution ; Production ; Testing</subject><ispartof>2006 9th International Conference on Control, Automation, Robotics and Vision, 2006, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4150162$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4150162$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Osmera, P.</creatorcontrib><creatorcontrib>Popelka, O.</creatorcontrib><creatorcontrib>Pivonka, P.</creatorcontrib><title>Parallel Grammatical Evolution with Backward Processing</title><title>2006 9th International Conference on Control, Automation, Robotics and Vision</title><addtitle>ICARCV</addtitle><description>This paper describes parallel grammatical evolution (PGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur form grammar definition. To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested. The significance of backward coding (BC) and the comparison with standard coding of GEs is presented. BC can speed up grammatical evolution with high quality features. The adaptive significance of parallel grammatical evolution with "male" and "female" populations has been studied</description><subject>Automation</subject><subject>backward processing</subject><subject>Bioinformatics</subject><subject>Computer science</subject><subject>Evolution (biology)</subject><subject>Genetic programming</subject><subject>Genomics</subject><subject>grammatical evolution</subject><subject>Mechanical engineering</subject><subject>Paper technology</subject><subject>parallel evolution</subject><subject>Production</subject><subject>Testing</subject><isbn>1424403413</isbn><isbn>9781424403417</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjtFKwzAUQAMiTOd-QF_6A625uWmTPGqZUxg4ZOx13KSpRtNVkurw7x3oeTlvh8PYNfAKgJvbp_bupd1VgvOmQlkjF2fsEqSQkqMEnLFFzu_8BBoJgBdMbShRjD4Wq0TDQFNwFIvl9xi_pjAeimOY3op7ch9HSl2xSaPzOYfD6xU77ylmv_j3nG0fltv2sVw_r04T6zIYPpWis9x1DhGs0dJ0gtBZ29UOdYMWFQKZRukeDCpwoFWD2pDrfa-017XFObv5ywbv_f4zhYHSz15CzaER-AsWAUSB</recordid><startdate>200612</startdate><enddate>200612</enddate><creator>Osmera, P.</creator><creator>Popelka, O.</creator><creator>Pivonka, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200612</creationdate><title>Parallel Grammatical Evolution with Backward Processing</title><author>Osmera, P. ; Popelka, O. ; Pivonka, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2db0cdc331b9849d2a3cbbd5c3863b3731a9678f19371c1876389acfef78e85b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Automation</topic><topic>backward processing</topic><topic>Bioinformatics</topic><topic>Computer science</topic><topic>Evolution (biology)</topic><topic>Genetic programming</topic><topic>Genomics</topic><topic>grammatical evolution</topic><topic>Mechanical engineering</topic><topic>Paper technology</topic><topic>parallel evolution</topic><topic>Production</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Osmera, P.</creatorcontrib><creatorcontrib>Popelka, O.</creatorcontrib><creatorcontrib>Pivonka, P.</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>Osmera, P.</au><au>Popelka, O.</au><au>Pivonka, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Parallel Grammatical Evolution with Backward Processing</atitle><btitle>2006 9th International Conference on Control, Automation, Robotics and Vision</btitle><stitle>ICARCV</stitle><date>2006-12</date><risdate>2006</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>1424403413</isbn><isbn>9781424403417</isbn><abstract>This paper describes parallel grammatical evolution (PGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur form grammar definition. To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested. The significance of backward coding (BC) and the comparison with standard coding of GEs is presented. BC can speed up grammatical evolution with high quality features. The adaptive significance of parallel grammatical evolution with "male" and "female" populations has been studied</abstract><pub>IEEE</pub><doi>10.1109/ICARCV.2006.345302</doi><tpages>6</tpages></addata></record> |
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subjects | Automation backward processing Bioinformatics Computer science Evolution (biology) Genetic programming Genomics grammatical evolution Mechanical engineering Paper technology parallel evolution Production Testing |
title | Parallel Grammatical Evolution with Backward Processing |
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