{"id":"https://openalex.org/W2092602578","doi":"https://doi.org/10.1109/cec.2012.6256626","title":"Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm","display_name":"Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2092602578","doi":"https://doi.org/10.1109/cec.2012.6256626","mag":"2092602578"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6256626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101457561","display_name":"Yanjuan Li","orcid":"https://orcid.org/0000-0002-0907-2559"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanjuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China","School of Information and Computer Engineering, Northeast Forestry University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Information and Computer Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101457561"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I47689461"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12112745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.8215944170951843},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7566988468170166},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.7151756286621094},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5845882296562195},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.54868483543396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.545205295085907},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5187304615974426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4775605797767639},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4405101537704468},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42229732871055603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34062913060188293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3134920001029968}],"concepts":[{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.8215944170951843},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7566988468170166},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.7151756286621094},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5845882296562195},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.54868483543396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.545205295085907},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5187304615974426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4775605797767639},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4405101537704468},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42229732871055603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34062913060188293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3134920001029968},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2012.6256626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1488935569","https://openalex.org/W1502789994","https://openalex.org/W1512312518","https://openalex.org/W1537900672","https://openalex.org/W1561665693","https://openalex.org/W1596366717","https://openalex.org/W1603438524","https://openalex.org/W1608154539","https://openalex.org/W1964998556","https://openalex.org/W1970608725","https://openalex.org/W1980911621","https://openalex.org/W1988467897","https://openalex.org/W1994755556","https://openalex.org/W2002062817","https://openalex.org/W2018206481","https://openalex.org/W2058765389","https://openalex.org/W2063850923","https://openalex.org/W2092733999","https://openalex.org/W2105622872","https://openalex.org/W2114577544","https://openalex.org/W2120272181","https://openalex.org/W2163335756","https://openalex.org/W2187164964","https://openalex.org/W2365419019","https://openalex.org/W6636061390","https://openalex.org/W6636425707","https://openalex.org/W6676108733","https://openalex.org/W6684083484"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W2097965245","https://openalex.org/W4294725171","https://openalex.org/W1485885287","https://openalex.org/W2553277926","https://openalex.org/W4384024076","https://openalex.org/W1578871554","https://openalex.org/W2139799987"],"abstract_inverted_index":{"A":[0],"new":[1,55,89,116,136],"genetic":[2],"inductive":[3],"logic":[4],"programming":[5],"(GILP":[6],"for":[7],"short)":[8],"algorithm":[9],"named":[10],"PT-NFF-GILP":[11,36,156],"(Phase":[12],"Transition":[13],"and":[14,100,127,147,169],"New":[15],"Fitness":[16],"Function":[17],"based":[18],"Genetic":[19],"Inductive":[20],"Logic":[21],"Programming)":[22],"is":[23,84,157],"proposed":[24],"in":[25,41,86],"this":[26],"paper.":[27],"Based":[28],"on":[29,108],"phase":[30,42],"transition":[31,43],"of":[32,46,50,64,74,95,105,118,131,142,155],"the":[33,47,62,72,75,81,93,102,115,135,140],"covering":[34],"test,":[35],"randomly":[37],"generates":[38],"initial":[39,120],"population":[40,121],"region":[44],"instead":[45],"whole":[48],"space":[49],"candidate":[51],"clauses.":[52],"Moreover,":[53],"a":[54],"fitness":[56,90,137],"function,":[57],"which":[58],"not":[59],"only":[60],"considers":[61,71],"number":[63,126],"examples":[65,76],"covered":[66,77],"by":[67,78],"rules,":[68],"but":[69],"also":[70],"ratio":[73],"rules":[79,97,144],"to":[80],"training":[82],"examples,":[83],"defined":[85],"PT-NFF-GILP.":[87],"The":[88,153],"function":[91,138],"measures":[92,139],"quality":[94,141],"firstorder":[96],"more":[98,145],"precisely,":[99],"enhances":[101],"search":[103],"performance":[104,154],"algorithm.":[106],"Experiments":[107],"ten":[109],"learning":[110],"problems":[111],"show":[112],"that:":[113],"1)":[114],"method":[117],"generating":[119,149],"can":[122],"effectively":[123],"reduce":[124],"iteration":[125],"enhance":[128],"predictive":[129],"accuracy":[130],"GILP":[132],"algorithm;":[133],"2)":[134],"first-order":[143],"precisely":[146],"avoids":[148],"over-specific":[150],"hypothesis;":[151],"3)":[152],"better":[158],"than":[159],"other":[160],"algorithms":[161],"compared":[162],"with":[163],"it,":[164],"such":[165],"as":[166],"G-NET,":[167],"KFOIL":[168],"NFOIL.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
