{"id":"https://openalex.org/W4412106596","doi":"https://doi.org/10.1145/3712256.3726463","title":"Multi-Objective Covariance Matrix Adaptation MAP-Annealing","display_name":"Multi-Objective Covariance Matrix Adaptation MAP-Annealing","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412106596","doi":"https://doi.org/10.1145/3712256.3726463"},"language":"en","primary_location":{"id":"doi:10.1145/3712256.3726463","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726463","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3712256.3726463","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102896229","display_name":"Shihan Zhao","orcid":"https://orcid.org/0009-0003-1344-5260"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shihan Zhao","raw_affiliation_strings":["University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0009-0003-1344-5260","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042344629","display_name":"Stefanos Nikolaidis","orcid":"https://orcid.org/0000-0002-8617-3871"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefanos Nikolaidis","raw_affiliation_strings":["University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0002-8617-3871","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19291339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"673","last_page":"682"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9793999791145325,"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/covariance-matrix","display_name":"Covariance matrix","score":0.6585869193077087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5528386831283569},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5494449138641357},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.5488380789756775},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5113067626953125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.339656263589859},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32609623670578003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30047571659088135},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.29524320363998413},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.087161123752594}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6585869193077087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5528386831283569},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5494449138641357},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.5488380789756775},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5113067626953125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.339656263589859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32609623670578003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30047571659088135},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.29524320363998413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.087161123752594},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712256.3726463","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726463","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3712256.3726463","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726463","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W138500685","https://openalex.org/W224959492","https://openalex.org/W350155834","https://openalex.org/W1491246725","https://openalex.org/W1539216098","https://openalex.org/W1588375755","https://openalex.org/W1738827650","https://openalex.org/W1969219959","https://openalex.org/W2008049315","https://openalex.org/W2038420231","https://openalex.org/W2090797242","https://openalex.org/W2106334424","https://openalex.org/W2108968575","https://openalex.org/W2122297020","https://openalex.org/W2126105956","https://openalex.org/W2133787071","https://openalex.org/W2160088187","https://openalex.org/W2251503907","https://openalex.org/W2314046539","https://openalex.org/W2702283731","https://openalex.org/W2751605210","https://openalex.org/W2797210984","https://openalex.org/W2911918032","https://openalex.org/W2962687375","https://openalex.org/W2970894611","https://openalex.org/W2994369270","https://openalex.org/W3004042307","https://openalex.org/W3021613070","https://openalex.org/W3046910774","https://openalex.org/W3167445240","https://openalex.org/W4221140786","https://openalex.org/W4221151049","https://openalex.org/W4223972227","https://openalex.org/W4225709924","https://openalex.org/W4237617116","https://openalex.org/W4241533337","https://openalex.org/W4281824718","https://openalex.org/W4288282912","https://openalex.org/W4307416622","https://openalex.org/W4322619070","https://openalex.org/W4362641872","https://openalex.org/W4365799855","https://openalex.org/W4365800092","https://openalex.org/W4385682158","https://openalex.org/W4396988312","https://openalex.org/W4400412639","https://openalex.org/W4409761591","https://openalex.org/W6630640031","https://openalex.org/W6654710623","https://openalex.org/W6798024477","https://openalex.org/W6838763589"],"related_works":["https://openalex.org/W2926551842","https://openalex.org/W3119219900","https://openalex.org/W2022594112","https://openalex.org/W2572601863","https://openalex.org/W3112846993","https://openalex.org/W4211082860","https://openalex.org/W2056742037","https://openalex.org/W2587300415","https://openalex.org/W4303684144","https://openalex.org/W1976318097"],"abstract_inverted_index":{"Quality-Diversity":[0,34],"(QD)":[1],"optimization":[2,38],"is":[3,22],"an":[4,86],"emerging":[5],"field":[6],"that":[7,61,128],"focuses":[8],"on":[9,32,149],"finding":[10],"a":[11,26,55,124,158],"set":[12,57],"of":[13,58,88,104,157],"behaviorally":[14],"diverse":[15,56],"and":[16,77,84,121,153],"high-quality":[17],"solutions.":[18],"While":[19],"the":[20,102,118,137,144],"quality":[21],"typically":[23],"defined":[24],"w.r.t.":[25],"single":[27],"objective":[28,43],"function,":[29],"recent":[30,93],"work":[31,94],"Multi-Objective":[33],"(MOQD)":[35],"extends":[36],"QD":[37,96],"to":[39,79,135],"simultaneously":[40],"optimize":[41,136],"multiple":[42],"functions.":[44],"This":[45],"opens":[46],"up":[47],"multi-objective":[48],"applications":[49],"for":[50,81,108,154],"QD,":[51],"such":[52,74],"as":[53,75],"generating":[54,155],"game":[59],"maps":[60,156],"maximize":[62],"difficulty,":[63],"realism,":[64],"or":[65],"other":[66],"properties.":[67],"Existing":[68],"MOQD":[69,119,126,151],"algorithms":[70],"use":[71,103],"non-adaptive":[72],"methods":[73],"mutation":[76],"crossover":[78],"search":[80],"non-dominated":[82],"solutions":[83],"construct":[85],"archive":[87],"Pareto":[89],"Sets":[90],"(PS).":[91],"However,":[92],"in":[95,165],"has":[97],"demonstrated":[98],"enhanced":[99],"performance":[100],"through":[101],"covariance-based":[105],"evolution":[106],"strategies":[107],"adaptive":[109],"solution":[110],"search.":[111],"We":[112,146],"propose":[113],"bringing":[114],"this":[115],"insight":[116],"into":[117],"problem,":[120],"introduce":[122],"MO-CMA-MAE,":[123],"new":[125],"algorithm":[127],"leverages":[129],"Covariance":[130],"Matrix":[131],"AdaptationEvolution":[132],"Strategies":[133],"(CMA-ES)":[134],"hypervolume":[138],"associated":[139],"with":[140],"every":[141],"PS":[142],"within":[143],"archive.":[145],"test":[147],"MO-CMA-MAE":[148],"three":[150],"domains,":[152],"co-operative":[159],"video":[160],"game,":[161],"showing":[162],"significant":[163],"improvements":[164],"performance.":[166]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}