{"id":"https://openalex.org/W4285805587","doi":"https://doi.org/10.1145/3520304.3533987","title":"Interaction-transformation evolutionary algorithm with coefficients optimization","display_name":"Interaction-transformation evolutionary algorithm with coefficients optimization","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805587","doi":"https://doi.org/10.1145/3520304.3533987"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3533987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3533987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5077603289","display_name":"Guilherme Seidyo Imai Aldeia","orcid":"https://orcid.org/0000-0002-0102-4958"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme Seidyo Imai Aldeia","raw_affiliation_strings":["Universidade Federal do ABC, Brazil, Santo Andr\u00e9, SP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC, Brazil, Santo Andr\u00e9, SP","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010769668","display_name":"Fabr\u00edcio Olivetti de Fran\u00e7a","orcid":"https://orcid.org/0000-0002-2741-8736"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabr\u00edcio Olivetti de Fran\u00e7a","raw_affiliation_strings":["Universidade Federal do ABC, Brazil, Santo Andr\u00e9, SP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC, Brazil, Santo Andr\u00e9, SP","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71715416"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2274","last_page":"2281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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":0.9937000274658203,"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/transformation","display_name":"Transformation (genetics)","score":0.7295271158218384},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6607042551040649},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5841212868690491},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.575211226940155},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5372670888900757},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5254924893379211},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.506953239440918},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49976587295532227},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48682206869125366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4832907021045685},{"id":"https://openalex.org/keywords/linear-map","display_name":"Linear map","score":0.46398237347602844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4498788118362427},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4337158501148224},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43037763237953186}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.7295271158218384},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6607042551040649},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5841212868690491},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.575211226940155},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5372670888900757},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5254924893379211},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.506953239440918},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49976587295532227},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48682206869125366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4832907021045685},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.46398237347602844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4498788118362427},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4337158501148224},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43037763237953186},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3533987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3533987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":25,"referenced_works":["https://openalex.org/W121066256","https://openalex.org/W1974805999","https://openalex.org/W2013827052","https://openalex.org/W2047108725","https://openalex.org/W2078887779","https://openalex.org/W2087070363","https://openalex.org/W2131806537","https://openalex.org/W2236177333","https://openalex.org/W2607589993","https://openalex.org/W2617786135","https://openalex.org/W2782083374","https://openalex.org/W2910230154","https://openalex.org/W2963718873","https://openalex.org/W2963773324","https://openalex.org/W2991933648","https://openalex.org/W3042344738","https://openalex.org/W3094704314","https://openalex.org/W3095725175","https://openalex.org/W3101699553","https://openalex.org/W3111210983","https://openalex.org/W3129940801","https://openalex.org/W3164124231","https://openalex.org/W3166656282","https://openalex.org/W3174475138","https://openalex.org/W3175717483"],"related_works":["https://openalex.org/W2136258730","https://openalex.org/W2044709125","https://openalex.org/W2396968767","https://openalex.org/W2023858260","https://openalex.org/W2918702815","https://openalex.org/W2763601085","https://openalex.org/W4206311796","https://openalex.org/W2068310053","https://openalex.org/W3174049743","https://openalex.org/W4225307019"],"abstract_inverted_index":{"Symbolic":[0],"Regression":[1],"is":[2,60],"the":[3,12,55,58,67,77,81,91,94,98,103,108,133,140,160],"task":[4],"of":[5,57,62,69,80,93,97],"finding":[6,36],"a":[7,21,44,63,148],"mathematical":[8],"expression":[9,59,152],"to":[10,89,113,118,143],"describe":[11],"relationship":[13],"between":[14],"one":[15],"or":[16],"more":[17],"independent":[18],"variables":[19],"with":[20,147],"dependent":[22],"variable.":[23],"The":[24,47,128,154],"search":[25,78],"space":[26,79],"can":[27],"be":[28,43],"vast":[29],"and":[30,125,135,151],"include":[31],"any":[32],"algebraic":[33],"function;":[34],"thus,":[35],"optimal":[37],"values":[38],"for":[39],"coefficients":[40,56,92,137],"may":[41],"not":[42],"trivial":[45],"task.":[46],"Interaction-Transformation":[48,99,109],"representation":[49],"alleviates":[50],"this":[51,73],"problem":[52],"enforcing":[53],"that":[54,131],"part":[61,96],"linear":[64,124,136],"transformation,":[65],"allowing":[66],"application":[68],"least":[70],"squares.":[71],"But":[72],"solution":[74],"also":[75],"limits":[76],"expressions.":[82],"This":[83],"paper":[84],"proposes":[85],"four":[86,120],"different":[87],"strategies":[88,105],"optimize":[90],"nonlinear":[95],"representation.":[100],"We":[101],"benchmark":[102],"proposed":[104],"by":[106],"applying":[107],"Evolutionary":[110],"Algorithm":[111],"(ITEA)":[112],"six":[114],"well-known":[115],"data":[116],"sets":[117],"evaluate":[119],"optimization":[121,156],"heuristics":[122],"combining":[123],"non-linear":[126,134,155],"methods.":[127],"results":[129],"show":[130],"optimizing":[132],"separately":[138],"was":[139,159],"best":[141],"strategy":[142],"find":[144],"better-performing":[145],"expressions":[146],"higher":[149],"run-time":[150],"size.":[153],"method":[157],"alone":[158],"worst-performing":[161],"method.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
