{"id":"https://openalex.org/W2047480303","doi":"https://doi.org/10.1145/2576768.2598382","title":"A hybrid incremental genetic algorithm for subgraph isomorphism problem","display_name":"A hybrid incremental genetic algorithm for subgraph isomorphism problem","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2047480303","doi":"https://doi.org/10.1145/2576768.2598382","mag":"2047480303"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and 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/A5090550182","display_name":"Hyukgeun Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"HyukGeun Choi","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999133","display_name":"Jin-Hyun Kim","orcid":"https://orcid.org/0000-0002-5502-550X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JinHyun Kim","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022911578","display_name":"Byung-Ro Moon","orcid":"https://orcid.org/0000-0002-4968-2159"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Ro Moon","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090550182"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8006441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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/T11106","display_name":"Data Management and Algorithms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.9174587726593018},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.8509654402732849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5163546800613403},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5030283331871033},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4962065815925598},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.49204179644584656},{"id":"https://openalex.org/keywords/isomorphism","display_name":"Isomorphism (crystallography)","score":0.47990497946739197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4680003523826599},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4468812942504883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36563873291015625},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35468167066574097},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27753210067749023},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.07954946160316467}],"concepts":[{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.9174587726593018},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.8509654402732849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5163546800613403},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5030283331871033},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4962065815925598},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.49204179644584656},{"id":"https://openalex.org/C203436722","wikidata":"https://www.wikidata.org/wiki/Q902950","display_name":"Isomorphism (crystallography)","level":3,"score":0.47990497946739197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4680003523826599},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4468812942504883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36563873291015625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35468167066574097},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27753210067749023},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.07954946160316467},{"id":"https://openalex.org/C115624301","wikidata":"https://www.wikidata.org/wiki/Q895901","display_name":"Crystal structure","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W99032621","https://openalex.org/W99656621","https://openalex.org/W1641749581","https://openalex.org/W1974672137","https://openalex.org/W1986211785","https://openalex.org/W1990037396","https://openalex.org/W2016405275","https://openalex.org/W2036265926","https://openalex.org/W2039355939","https://openalex.org/W2055660454","https://openalex.org/W2104748762","https://openalex.org/W2111977969","https://openalex.org/W2112628447","https://openalex.org/W2112998751","https://openalex.org/W2117654656","https://openalex.org/W2119148238","https://openalex.org/W2121884935","https://openalex.org/W2126359798","https://openalex.org/W2134152592","https://openalex.org/W2154878346","https://openalex.org/W2158441602","https://openalex.org/W2168933917","https://openalex.org/W2170060345","https://openalex.org/W2476096155","https://openalex.org/W2955337691","https://openalex.org/W3106926726"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W2604893261","https://openalex.org/W2915540008","https://openalex.org/W2361654510","https://openalex.org/W2128390795","https://openalex.org/W1482551403","https://openalex.org/W2604114816","https://openalex.org/W2954463587","https://openalex.org/W2393701947","https://openalex.org/W2183579781"],"abstract_inverted_index":{"Finding":[0],"an":[1,32],"isomorphic":[2],"subgraph":[3,27],"is":[4,55,104],"a":[5,21,68,122],"key":[6],"problem":[7,29,38],"in":[8],"many":[9],"real":[10],"world":[11],"applications":[12],"modeled":[13],"on":[14,106],"graph.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19,53],"propose":[20],"new":[22],"hybrid":[23,69],"genetic":[24],"algorithm(GA)":[25],"for":[26,51,86],"isomorphism":[28],"which":[30,52],"uses":[31],"incremental":[33,88,119],"approach.":[34],"We":[35,66,82],"solve":[36],"the":[37,41,44,59,63,76,87,91],"with":[39,75,115],"increasing":[40],"size":[42],"of":[43,79,93],"subproblem":[45],"step":[46],"by":[47,99],"step.":[48,81],"The":[49,101],"graph":[50],"search":[54],"gradually":[56],"expanded":[57],"from":[58],"empty":[60],"structure":[61],"to":[62,71],"entire":[64],"one.":[65],"apply":[67],"GA":[70],"each":[72,94],"subproblem,":[73],"initialized":[74],"evolved":[77],"population":[78,117],"previous":[80,134],"present":[83],"design":[84,95],"issues":[85],"approach,":[89],"and":[90],"effects":[92],"decision":[96],"are":[97],"analyzed":[98],"experiment.":[100],"proposed":[102],"algorithm":[103,131],"tested":[105],"widely":[107],"used":[108],"dataset.":[109],"With":[110],"apposite":[111],"vertex":[112],"reordering":[113],"along":[114],"moderate":[116],"diversity,":[118],"approach":[120],"brought":[121],"significant":[123],"performance":[124],"improvement.":[125],"Experimental":[126],"results":[127],"showed":[128],"that":[129],"our":[130],"outperformed":[132],"representative":[133],"works.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
