{"id":"https://openalex.org/W1998400021","doi":"https://doi.org/10.1109/cec.2007.4424809","title":"An experimental evaluation of feedback loops in a business process mining genetic algorithm","display_name":"An experimental evaluation of feedback loops in a business process mining genetic algorithm","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W1998400021","doi":"https://doi.org/10.1109/cec.2007.4424809","mag":"1998400021"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2007.4424809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090907966","display_name":"Christopher Turner","orcid":"https://orcid.org/0000-0003-2812-3312"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C.J. Turner","raw_affiliation_strings":["Cranfield University, Bedfordshire, UK","Cranfield University Cranfield"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cranfield University, Bedfordshire, UK","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Cranfield University Cranfield","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066657755","display_name":"Ashutosh Tiwari","orcid":"https://orcid.org/0000-0002-6197-1519"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Tiwari","raw_affiliation_strings":["Cranfield University, Bedfordshire, UK","Cranfield University Cranfield"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cranfield University, Bedfordshire, UK","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Cranfield University Cranfield","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82284825"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2679","last_page":"2686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14082","display_name":"Modeling, Simulation, and Optimization","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.9082995653152466},{"id":"https://openalex.org/keywords/roulette","display_name":"Roulette","score":0.8709043264389038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854267120361328},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6804484724998474},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6281213760375977},{"id":"https://openalex.org/keywords/tournament-selection","display_name":"Tournament selection","score":0.595365047454834},{"id":"https://openalex.org/keywords/fitness-proportionate-selection","display_name":"Fitness proportionate selection","score":0.5859942436218262},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5842331647872925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.503067672252655},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.49099424481391907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41827964782714844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2980446517467499},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.27958065271377563},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.27719756960868835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25667184591293335},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.21481654047966003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1681366264820099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16364622116088867},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.07870706915855408}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9082995653152466},{"id":"https://openalex.org/C195502155","wikidata":"https://www.wikidata.org/wiki/Q2810237","display_name":"Roulette","level":2,"score":0.8709043264389038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854267120361328},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6804484724998474},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6281213760375977},{"id":"https://openalex.org/C165661538","wikidata":"https://www.wikidata.org/wiki/Q7829327","display_name":"Tournament selection","level":3,"score":0.595365047454834},{"id":"https://openalex.org/C99701942","wikidata":"https://www.wikidata.org/wiki/Q5455479","display_name":"Fitness proportionate selection","level":4,"score":0.5859942436218262},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5842331647872925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.503067672252655},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.49099424481391907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41827964782714844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2980446517467499},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.27958065271377563},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.27719756960868835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25667184591293335},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.21481654047966003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1681366264820099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16364622116088867},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.07870706915855408},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2007.4424809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W145413376","https://openalex.org/W603291999","https://openalex.org/W1508806467","https://openalex.org/W1563871563","https://openalex.org/W1574746644","https://openalex.org/W1994034660","https://openalex.org/W2004865374","https://openalex.org/W2012597977","https://openalex.org/W2096998948","https://openalex.org/W2155862563","https://openalex.org/W6630525199","https://openalex.org/W6981341690"],"related_works":["https://openalex.org/W2444625575","https://openalex.org/W2019155878","https://openalex.org/W10353878","https://openalex.org/W2350426988","https://openalex.org/W2135808265","https://openalex.org/W2367853453","https://openalex.org/W24635804","https://openalex.org/W1480497081","https://openalex.org/W795505458","https://openalex.org/W2355977368"],"abstract_inverted_index":{"This":[0],"paper":[1,42,87,109],"experiments":[2],"with":[3,27],"the":[4,31,44,60,66,80,90,101,108],"use":[5,17,91],"of":[6,18,30,68,82,92,103,120],"feedback":[7,95,113],"loops":[8,96,114],"in":[9,40,53,65,79,100],"a":[10,28],"genetic":[11,19],"business":[12,105],"process":[13,22,35,81],"mining":[14,23,54,102,123],"algorithm.":[15],"The":[16,86],"algorithms":[20],"for":[21],"is":[24,43],"explained":[25],"along":[26],"description":[29],"research":[32],"background":[33],"to":[34],"mining.":[36],"Of":[37],"particular":[38],"interest":[39],"this":[41],"crossover":[45,61,69,84],"operator.":[46],"Experiments":[47],"are":[48,56,77,115],"described":[49],"where":[50],"problems":[51],"encountered":[52],"processes":[55],"fed":[57],"back":[58],"into":[59],"operator":[62],"and":[63,74],"used":[64,78],"selection":[67],"points.":[70,85],"Both":[71],"roulette":[72],"wheel":[73],"tournament":[75],"methods":[76],"selecting":[83],"concludes":[88],"that":[89,112],"such":[93],"problem":[94],"can":[97],"be":[98],"beneficial":[99],"simple":[104],"processes.":[106],"However":[107],"makes":[110],"clear":[111],"best":[116],"employed":[117],"as":[118],"part":[119],"an":[121],"'intelligent'":[122],"technique.":[124]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
