{"id":"https://openalex.org/W4385213849","doi":"https://doi.org/10.1145/3583133.3596354","title":"Designing Scalarizing Functions Using Grammatical Evolution","display_name":"Designing Scalarizing Functions Using Grammatical Evolution","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385213849","doi":"https://doi.org/10.1145/3583133.3596354"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion 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/A5030845834","display_name":"Am\u00edn V. Bernab\u00e9 Rodr\u00edguez","orcid":"https://orcid.org/0009-0000-0972-7511"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Amin V. Bernabe Rodriguez","raw_affiliation_strings":["Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085548317","display_name":"Carlos A. Coello Coello","orcid":"https://orcid.org/0000-0002-8435-680X"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos A. Coello Coello","raw_affiliation_strings":["Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030845834"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.3962,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64408756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2004","last_page":"2012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8971046805381775},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6927727460861206},{"id":"https://openalex.org/keywords/grammatical-evolution","display_name":"Grammatical evolution","score":0.6403018236160278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249281167984009},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5587030053138733},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5261477828025818},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.45451733469963074},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.42396777868270874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41218745708465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38997209072113037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2650035619735718},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.12687313556671143},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09038862586021423},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.057466864585876465}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8971046805381775},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6927727460861206},{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.6403018236160278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249281167984009},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5587030053138733},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5261477828025818},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45451733469963074},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.42396777868270874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41218745708465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38997209072113037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2650035619735718},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.12687313556671143},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09038862586021423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.057466864585876465},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3596354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W397102730","https://openalex.org/W1555698548","https://openalex.org/W1608317386","https://openalex.org/W1966253115","https://openalex.org/W1996294833","https://openalex.org/W2006534190","https://openalex.org/W2024008934","https://openalex.org/W2025822274","https://openalex.org/W2085507535","https://openalex.org/W2143381319","https://openalex.org/W2296218809","https://openalex.org/W3006186968","https://openalex.org/W3082642226","https://openalex.org/W3102715269","https://openalex.org/W4212780904","https://openalex.org/W6891785426"],"related_works":["https://openalex.org/W2318447304","https://openalex.org/W2378211422","https://openalex.org/W2440364284","https://openalex.org/W2745001401","https://openalex.org/W1997369325","https://openalex.org/W2726551571","https://openalex.org/W3025152076","https://openalex.org/W3168391725","https://openalex.org/W2590464722","https://openalex.org/W1973203099"],"abstract_inverted_index":{"In":[0],"this":[1,45,123],"paper,":[2],"we":[3,48,77,126,132],"present":[4,98],"a":[5,19,79,118],"grammatical":[6],"evolution-based":[7],"framework":[8],"to":[9,17,57,66,73,116,135,142],"produce":[10,49],"new":[11,104,144],"scalarizing":[12,51,145],"functions,":[13],"which":[14,35,89,113],"are":[15,133],"known":[16,115],"have":[18],"significant":[20],"impact":[21],"on":[22],"the":[23,59,62,67,70,99,108],"performance":[24],"of":[25,42,61,69,82,87,102],"both":[26],"decomposition-based":[27],"multi-objective":[28],"evolutionary":[29],"algorithms":[30],"(MOEAs)":[31],"and":[32,131],"indicator-based":[33],"MOEAs":[34],"use":[36],"R2.":[37],"We":[38,97],"perform":[39,78],"two":[40,85],"series":[41],"experiments":[43,83],"using":[44,53],"framework.":[46],"First,":[47],"many":[50],"functions":[52,64,105,146],"different":[54,152],"benchmark":[55,129],"problems":[56,88,130],"explore":[58],"behavior":[60],"resulting":[63],"according":[65],"geometry":[68],"problem":[71],"adopted":[72],"generate":[74,143],"them.":[75],"Then,":[76],"second":[80],"round":[81],"adopting":[84],"combinations":[86],"yield":[90],"better":[91],"results":[92],"in":[93,151],"some":[94],"test":[95],"instances.":[96],"experimental":[100],"validation":[101],"these":[103],"compared":[106],"against":[107],"Achievement":[109],"Scalarizing":[110],"Function":[111],"(ASF),":[112],"is":[114,140],"provide":[117],"very":[119],"good":[120],"performance.":[121],"For":[122],"comparative":[124],"study,":[125],"adopt":[127],"several":[128],"able":[134,141],"show":[136],"that":[137,147],"our":[138],"proposal":[139],"can":[148],"outperform":[149],"ASF":[150],"problems.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}