{"id":"https://openalex.org/W1541678926","doi":"https://doi.org/10.1109/cec.2005.1554782","title":"The Use of a Genetic Algorithm to Optimize the Functional Form of a Multi-dimensional Polynomial Fit to Experimental Data","display_name":"The Use of a Genetic Algorithm to Optimize the Functional Form of a Multi-dimensional Polynomial Fit to Experimental Data","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1541678926","doi":"https://doi.org/10.1109/cec.2005.1554782","mag":"1541678926"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/132802/1/Clegg2005a_postprint.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087498663","display_name":"J. Clegg","orcid":"https://orcid.org/0000-0001-6007-0877"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Clegg","raw_affiliation_strings":["Department of Electronics, University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023863960","display_name":"J.F. Dawson","orcid":"https://orcid.org/0000-0003-4537-9977"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J.F. Dawson","raw_affiliation_strings":["Department of Electronics, University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022436711","display_name":"S.J. Porter","orcid":"https://orcid.org/0000-0002-7481-6278"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S.J. Porter","raw_affiliation_strings":["Department of Electronics, University of York, York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061224293","display_name":"Mark H. Barley","orcid":"https://orcid.org/0000-0002-4696-4206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.H. Barley","raw_affiliation_strings":["ICI Strategic Technology Group, Wilton Centre, Wilton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICI Strategic Technology Group, Wilton Centre, Wilton, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"928","last_page":"934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9889000058174133,"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/crossover","display_name":"Crossover","score":0.8462417125701904},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.7310330271720886},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.67410808801651},{"id":"https://openalex.org/keywords/genetic-representation","display_name":"Genetic representation","score":0.6466172933578491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6258611679077148},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6256998777389526},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5654023289680481},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5377540588378906},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.48737579584121704},{"id":"https://openalex.org/keywords/quality-control-and-genetic-algorithms","display_name":"Quality control and genetic algorithms","score":0.4333244860172272},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4297179877758026},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41349148750305176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31325438618659973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2216680943965912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15265950560569763}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8462417125701904},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7310330271720886},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.67410808801651},{"id":"https://openalex.org/C6135463","wikidata":"https://www.wikidata.org/wiki/Q5532920","display_name":"Genetic representation","level":3,"score":0.6466172933578491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258611679077148},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6256998777389526},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5654023289680481},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5377540588378906},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.48737579584121704},{"id":"https://openalex.org/C161164918","wikidata":"https://www.wikidata.org/wiki/Q7268775","display_name":"Quality control and genetic algorithms","level":4,"score":0.4333244860172272},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4297179877758026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41349148750305176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31325438618659973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2216680943965912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15265950560569763},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2005.1554782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:132802","is_oa":true,"landing_page_url":"https://orcid.org/0000-0003-4537-9977>,","pdf_url":"https://eprints.whiterose.ac.uk/132802/1/Clegg2005a_postprint.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"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":"Proceedings Paper"}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:132802","is_oa":true,"landing_page_url":"https://orcid.org/0000-0003-4537-9977>,","pdf_url":"https://eprints.whiterose.ac.uk/132802/1/Clegg2005a_postprint.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"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":"Proceedings Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1541678926.pdf","grobid_xml":"https://content.openalex.org/works/W1541678926.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W146014052","https://openalex.org/W1517016597","https://openalex.org/W1529146523","https://openalex.org/W1565902586","https://openalex.org/W1576818901","https://openalex.org/W1989472326","https://openalex.org/W2027945080","https://openalex.org/W2036916277","https://openalex.org/W2051848379","https://openalex.org/W2053954930","https://openalex.org/W2119267754","https://openalex.org/W2142183404","https://openalex.org/W2152753477","https://openalex.org/W4245407374","https://openalex.org/W4245941001"],"related_works":["https://openalex.org/W1553010236","https://openalex.org/W2998167408","https://openalex.org/W2379073824","https://openalex.org/W2354309204","https://openalex.org/W1999084560","https://openalex.org/W1529798305","https://openalex.org/W2369480021","https://openalex.org/W2348064796","https://openalex.org/W2353368228","https://openalex.org/W2602249954"],"abstract_inverted_index":{"This":[0,95],"paper":[1,34,96],"begins":[2],"with":[3,102],"the":[4,20,23,37,45,55,60,64,74,98],"optimisation":[5],"of":[6,22,25,39,48,63,77,83],"three":[7],"test":[8],"functions":[9],"using":[10,117],"a":[11,16,40,49,78,92,103],"genetic":[12,41,86,93,99,105],"algorithm":[13,42,100],"and":[14,31,108],"describes":[15],"statistical":[17],"analysis":[18],"on":[19],"effects":[21],"choice":[24],"crossover":[26],"technique,":[27],"parent":[28],"selection":[29],"strategy":[30],"mutation.":[32],"The":[33],"then":[35],"examines":[36],"use":[38],"to":[43,52,58,72,81],"optimize":[44],"functional":[46,75],"form":[47,76],"polynomial":[50],"fit":[51,80],"experimental":[53],"data;":[54],"aim":[56],"being":[57],"locate":[59,73],"global":[61],"optimum":[62],"data.":[65],"Genetic":[66],"programming":[67,87,106],"has":[68],"already":[69],"been":[70],"used":[71],"good":[79,112],"sets":[82],"data,":[84],"but":[85],"is":[88],"more":[89],"complex":[90],"than":[91],"algorithm.":[94],"compares":[97],"method":[101],"particular":[104],"approach":[107],"shows":[109],"that":[110],"equally":[111],"results":[113],"can":[114],"be":[115],"achieved":[116],"this":[118],"simpler":[119],"technique.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
