{"id":"https://openalex.org/W3046542836","doi":"https://doi.org/10.1145/3377929.3390028","title":"Using gradient-free local search within MOEAs for the treatment of constrained MOPs","display_name":"Using gradient-free local search within MOEAs for the treatment of constrained MOPs","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046542836","doi":"https://doi.org/10.1145/3377929.3390028","mag":"3046542836"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3390028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 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/A5001810668","display_name":"Lourdes Uribe","orcid":"https://orcid.org/0000-0002-2547-2288"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Lourdes Uribe","raw_affiliation_strings":["Instituto Polit\u00e9cnico Nacional, Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit\u00e9cnico Nacional, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078467081","display_name":"Adriana Lara","orcid":"https://orcid.org/0000-0002-2498-4441"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Adriana Lara","raw_affiliation_strings":["Instituto Polit\u00e9cnico Nacional, Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit\u00e9cnico Nacional, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050431536","display_name":"Oliver Sch\u00fctze","orcid":"https://orcid.org/0000-0002-8867-6878"},"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":"Oliver Sch\u00fctze","raw_affiliation_strings":["CINVESTAV-IPN Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"177","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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/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"}},{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7598398923873901},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7038567066192627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229535937309265},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5753359198570251},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5611936450004578},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5252111554145813},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5174513459205627},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4423266649246216},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4339655339717865},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4152102768421173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3051047921180725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17747452855110168}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7598398923873901},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7038567066192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229535937309265},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5753359198570251},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5611936450004578},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5252111554145813},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5174513459205627},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4423266649246216},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4339655339717865},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4152102768421173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3051047921180725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17747452855110168},{"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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3390028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1976159118","https://openalex.org/W2100717205","https://openalex.org/W2126105956","https://openalex.org/W2405408888","https://openalex.org/W2988529143"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1,78],"are":[2],"widely":[3,29],"used":[4],"for":[5,73],"the":[6,23,49,66,91,94],"treatment":[7],"of":[8,48,52,68,93],"multi-objective":[9,70],"optimization":[10],"problems":[11,89],"due":[12],"to":[13,41,64],"their":[14,19],"global":[15],"nature,":[16],"robustness,":[17],"and":[18],"minimal":[20],"assumptions":[21],"on":[22,86],"model.":[24],"In":[25,56],"turn,":[26],"it":[27],"is":[28],"accepted":[30],"that":[31],"they":[32],"still":[33],"need":[34],"quite":[35],"a":[36,43,53,61],"few":[37],"resources":[38],"in":[39],"order":[40],"obtain":[42],"suitable":[44],"finite":[45],"size":[46],"approximation":[47],"Pareto":[50],"set/front":[51],"given":[54],"problem.":[55],"this":[57],"work,":[58],"we":[59],"make":[60],"first":[62],"effort":[63],"study":[65],"effect":[67],"computing":[69],"descent":[71],"directions":[72],"local":[74],"search":[75],"within":[76],"evolutionary":[77],"without":[79],"explicitly":[80],"using":[81],"gradient":[82],"information.":[83],"Numerical":[84],"results":[85],"some":[87],"bi-objective":[88],"show":[90],"benefit":[92],"chosen":[95],"approach.":[96]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}