{"id":"https://openalex.org/W2053046363","doi":"https://doi.org/10.1145/2739480.2754677","title":"Reconstructing Cross-Cut Shredded Text Documents","display_name":"Reconstructing Cross-Cut Shredded Text Documents","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2053046363","doi":"https://doi.org/10.1145/2739480.2754677","mag":"2053046363"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754677","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 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/A5011932689","display_name":"Yong-Feng Ge","orcid":"https://orcid.org/0000-0002-5955-6295"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Feng Ge","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Jiao Gong","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679900","display_name":"Wei\u2013Jie Yu","orcid":"https://orcid.org/0000-0002-8396-2023"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Jie Yu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005506614","display_name":"Xiao-Min Hu","orcid":"https://orcid.org/0000-0001-5746-4242"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Min Hu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.07181532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"847","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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/T12364","display_name":"Archaeological Research and Protection","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/elitism","display_name":"Elitism","score":0.81641685962677},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8075365424156189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686258912086487},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6495069265365601},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5606966614723206},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5067084431648254},{"id":"https://openalex.org/keywords/rna-splicing","display_name":"RNA splicing","score":0.4863748848438263},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.48386871814727783},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45594725012779236},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43763643503189087},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43298378586769104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40679502487182617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3841111361980438},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3557589650154114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3070486783981323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21357733011245728}],"concepts":[{"id":"https://openalex.org/C2780688418","wikidata":"https://www.wikidata.org/wiki/Q422933","display_name":"Elitism","level":3,"score":0.81641685962677},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8075365424156189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686258912086487},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6495069265365601},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5606966614723206},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5067084431648254},{"id":"https://openalex.org/C54458228","wikidata":"https://www.wikidata.org/wiki/Q237218","display_name":"RNA splicing","level":4,"score":0.4863748848438263},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.48386871814727783},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45594725012779236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43763643503189087},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43298378586769104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40679502487182617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3841111361980438},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3557589650154114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3070486783981323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21357733011245728},{"id":"https://openalex.org/C67705224","wikidata":"https://www.wikidata.org/wiki/Q11053","display_name":"RNA","level":3,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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":2,"locations":[{"id":"doi:10.1145/2739480.2754677","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:46107","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/46107/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W17748033","https://openalex.org/W99032621","https://openalex.org/W1490934561","https://openalex.org/W1497256448","https://openalex.org/W1516301787","https://openalex.org/W1535691782","https://openalex.org/W1536655913","https://openalex.org/W1589975099","https://openalex.org/W1592172455","https://openalex.org/W1638853996","https://openalex.org/W1659842140","https://openalex.org/W1986198903","https://openalex.org/W2008325620","https://openalex.org/W2010334716","https://openalex.org/W2027931016","https://openalex.org/W2084649778","https://openalex.org/W2101080494","https://openalex.org/W2109536974","https://openalex.org/W2123066915","https://openalex.org/W2153260109","https://openalex.org/W2155005783","https://openalex.org/W2595735895","https://openalex.org/W2976664243","https://openalex.org/W3179723949","https://openalex.org/W4256361765","https://openalex.org/W6630838125","https://openalex.org/W6635336068","https://openalex.org/W7075657507"],"related_works":["https://openalex.org/W2014162767","https://openalex.org/W2363406585","https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2164831575","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W2094658154","https://openalex.org/W2370837632"],"abstract_inverted_index":{"In":[0],"this":[1,104],"work":[2],"we":[3],"focus":[4],"on":[5,62,85],"reconstruction":[6,75],"of":[7,15,21,46],"cross-cut":[8],"shredded":[9],"text":[10],"documents":[11],"(RCCSTD),":[12],"which":[13],"is":[14,40],"high":[16],"interest":[17],"in":[18,49],"the":[19,44,73,78,94,99],"fields":[20],"forensics":[22],"and":[23,35,57,65],"archeology.":[24],"A":[25],"novel":[26,56],"genetic":[27],"algorithm,":[28],"with":[29,89],"splicing-driven":[30],"crossover,":[31],"four":[32],"mutation":[33],"operators,":[34],"a":[36,55],"row-oriented":[37],"elitism":[38],"strategy,":[39],"proposed":[41,95],"to":[42,70],"improve":[43],"capability":[45],"solving":[47],"RCCSTD":[48,87],"complex":[50],"space.":[51],"We":[52],"also":[53],"design":[54],"comprehensive":[58],"objective":[59],"function":[60],"based":[61],"both":[63],"edge":[64],"empty":[66],"vector-based":[67],"splicing":[68],"error":[69],"guarantee":[71],"that":[72,93],"correct":[74],"always":[76],"has":[77],"lowest":[79],"cost":[80],"value.":[81],"Experiments":[82],"are":[83],"conducted":[84],"six":[86],"scenarios,":[88],"experimental":[90],"results":[91],"showing":[92],"algorithm":[96],"significantly":[97],"outperforms":[98],"previous":[100],"best-known":[101],"algorithms":[102],"for":[103],"problem.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
