{"id":"https://openalex.org/W2106661025","doi":"https://doi.org/10.1109/cec.2003.1299772","title":"A Taguchi method-based crossover operator for the parametrical problems","display_name":"A Taguchi method-based crossover operator for the parametrical problems","publication_year":2004,"publication_date":"2004-07-09","ids":{"openalex":"https://openalex.org/W2106661025","doi":"https://doi.org/10.1109/cec.2003.1299772","mag":"2106661025"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2003.1299772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2003.1299772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","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/A5068550413","display_name":"Kit Yan Chan","orcid":"https://orcid.org/0000-0003-4949-7647"},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"K.Y. Chan","raw_affiliation_strings":["Faculty of Business, Computing and Information Management, South Bank University, London, UK","Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Business, Computing and Information Management, South Bank University, London, UK","institution_ids":["https://openalex.org/I28257850"]},{"raw_affiliation_string":"Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK","institution_ids":["https://openalex.org/I28257850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723909","display_name":"Mehmet Emin Ayd\u0131n","orcid":"https://orcid.org/0000-0002-4890-5648"},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M.E. Aydin","raw_affiliation_strings":["Faculty of Business, Computing and Information Management, South Bank University, London, UK","Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Business, Computing and Information Management, South Bank University, London, UK","institution_ids":["https://openalex.org/I28257850"]},{"raw_affiliation_string":"Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK","institution_ids":["https://openalex.org/I28257850"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090109736","display_name":"Terence C. Fogarty","orcid":null},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T.C. Fogarty","raw_affiliation_strings":["Faculty of Business, Computing and Information Management, South Bank University, London, UK","Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Business, Computing and Information Management, South Bank University, London, UK","institution_ids":["https://openalex.org/I28257850"]},{"raw_affiliation_string":"Fac. of Bus., Comput. & Inf. Manage., South Bank Univ., London, UK","institution_ids":["https://openalex.org/I28257850"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068550413"],"corresponding_institution_ids":["https://openalex.org/I28257850"],"apc_list":null,"apc_paid":null,"fwci":1.7359,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8529071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"971","last_page":"977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13267","display_name":"Advanced Theoretical and Applied Studies in Material Sciences and Geometry","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9402999877929688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.8666791915893555},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8013970851898193},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6621273159980774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509381890296936},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38516733050346375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.299614280462265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23901286721229553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11449408531188965},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09413948655128479}],"concepts":[{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.8666791915893555},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8013970851898193},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6621273159980774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509381890296936},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38516733050346375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.299614280462265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23901286721229553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11449408531188965},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09413948655128479},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2003.1299772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2003.1299772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","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":16,"referenced_works":["https://openalex.org/W1491409125","https://openalex.org/W1561739560","https://openalex.org/W1587189474","https://openalex.org/W1596568617","https://openalex.org/W1796921492","https://openalex.org/W2027945080","https://openalex.org/W2060135116","https://openalex.org/W2109116383","https://openalex.org/W2135865119","https://openalex.org/W2140321405","https://openalex.org/W2166135752","https://openalex.org/W2504058614","https://openalex.org/W3144734630","https://openalex.org/W4245941001","https://openalex.org/W4251487122","https://openalex.org/W6638374991"],"related_works":["https://openalex.org/W2371108399","https://openalex.org/W2525152177","https://openalex.org/W2979917306","https://openalex.org/W2369738212","https://openalex.org/W2152922390","https://openalex.org/W2383252209","https://openalex.org/W2381787154","https://openalex.org/W2163027130","https://openalex.org/W1617803207","https://openalex.org/W2367372043"],"abstract_inverted_index":{"Based":[0],"on":[1,101],"our":[2],"observation,":[3],"some":[4,102],"major":[5],"steps":[6],"in":[7,57,80],"the":[8,13,31,36,73,77,81,86,92,96],"genetic":[9],"algorithm,":[10],"such":[11],"as":[12,19],"crossover":[14,32,69,99],"operator,":[15,33],"can":[16,39,55,75],"be":[17,40],"considered":[18],"experiments.":[20],"The":[21],"aim":[22],"is":[23,48],"to":[24,29,65],"apply":[25,62],"experimental":[26,58],"design":[27],"techniques":[28],"improve":[30],"so":[34,71],"that":[35,54,72,91],"resulting":[37],"operator":[38,70,74,94],"more":[41],"robust":[42],"and":[43,51],"statistically":[44],"sound.":[45],"Taguchi":[46,63],"method":[47,64],"a":[49,67],"systematic":[50],"time-efficient":[52],"approach":[53],"aid":[56],"design.":[59],"Here":[60],"we":[61],"tailor":[66],"new":[68],"estimate":[76],"best":[78],"point":[79],"search":[82],"space":[83],"determined":[84],"by":[85],"parents.":[87],"Experimental":[88],"result":[89],"shows":[90],"proposed":[93],"outperforms":[95],"classical":[97],"GA":[98],"strategy":[100],"parametrical":[103],"problems.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}