{"id":"https://openalex.org/W4285805550","doi":"https://doi.org/10.1145/3520304.3528796","title":"Estimating the quality of initial populations in multi-objective evolutionary algorithms","display_name":"Estimating the quality of initial populations in multi-objective evolutionary algorithms","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805550","doi":"https://doi.org/10.1145/3520304.3528796"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3528796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528796","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":"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/A5053812460","display_name":"Tobias Benecke","orcid":"https://orcid.org/0000-0002-5075-3380"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Benecke","raw_affiliation_strings":["Otto-von-Guericke University, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064569017","display_name":"Sanaz Mostaghim","orcid":"https://orcid.org/0000-0002-9917-5227"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sanaz Mostaghim","raw_affiliation_strings":["Otto-von-Guericke University, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053812460"],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":0.7782,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6320132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"327"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996999979019165,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.9086991548538208},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7562480568885803},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7330392599105835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6255395412445068},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6142328977584839},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5778257250785828},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5517320036888123},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5148171782493591},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4674094021320343},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.46583572030067444},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45219123363494873},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.429232656955719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32567256689071655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3157631754875183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3018069863319397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07798629999160767}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9086991548538208},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7562480568885803},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7330392599105835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255395412445068},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6142328977584839},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5778257250785828},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5517320036888123},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5148171782493591},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4674094021320343},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.46583572030067444},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45219123363494873},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.429232656955719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32567256689071655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3157631754875183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3018069863319397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07798629999160767},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3528796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528796","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":10,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W225560312","https://openalex.org/W1543520236","https://openalex.org/W1608317386","https://openalex.org/W2102365077","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2556839191","https://openalex.org/W3189902527","https://openalex.org/W4207066076"],"related_works":["https://openalex.org/W2778832510","https://openalex.org/W2803239569","https://openalex.org/W3188648403","https://openalex.org/W2558581367","https://openalex.org/W2348568752","https://openalex.org/W3213030203","https://openalex.org/W2384380565","https://openalex.org/W1880866131","https://openalex.org/W2887328214","https://openalex.org/W2756578209"],"abstract_inverted_index":{"The":[0],"initial":[1,44,101],"population":[2,45,102],"is":[3,13],"the":[4,25,29,36,40,43,64,75,87,93,97,100,115],"starting":[5],"point":[6],"of":[7,28,38,42,66,99,117,123],"each":[8],"evolutionary":[9,48],"algorithm":[10],"(EA)":[11],"and":[12,78,103],"widely":[14],"understood":[15],"to":[16,24],"be":[17],"an":[18],"important":[19],"factor":[20],"when":[21,81],"it":[22],"comes":[23],"overall":[26],"performance":[27,65],"algorithm.":[30],"In":[31],"this":[32,110],"paper,":[33],"we":[34,91,113],"explore":[35],"possibility":[37],"estimating":[39,96],"quality":[41,98],"in":[46],"multi-objective":[47],"algorithms":[49],"(MOEAs)":[50],"without":[51],"using":[52],"expensive":[53],"benchmarking.":[54],"While":[55],"there":[56],"are":[57,70],"already":[58],"well":[59],"established":[60],"metrics":[61],"for":[62,86,95,109],"measuring":[63],"a":[67,84,105,121],"MOEA,":[68],"they":[69],"often":[71],"calculated":[72],"only":[73],"on":[74],"non-dominated":[76],"solutions":[77],"show":[79],"drawbacks":[80],"applied":[82],"as":[83],"measure":[85],"first":[88],"generation.":[89],"Here,":[90],"discuss":[92],"challenges":[94],"propose":[104],"new":[106],"metric":[107,119],"dedicated":[108],"purpose.":[111],"Finally,":[112],"evaluate":[114],"accuracy":[116],"our":[118],"against":[120],"set":[122],"benchmarking":[124],"problems.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}