{"id":"https://openalex.org/W2489392855","doi":"https://doi.org/10.1145/2908961.2931709","title":"The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite","display_name":"The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2489392855","doi":"https://doi.org/10.1145/2908961.2931709","mag":"2489392855"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2931709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2931709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01435453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112873713","display_name":"Anne Auger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Anne Auger","raw_affiliation_strings":["Inria Saclay - Ile-de-France, Orsay, France","Machine Learning and Optimisation"],"affiliations":[{"raw_affiliation_string":"Inria Saclay - Ile-de-France, Orsay, France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"Machine Learning and Optimisation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005693703","display_name":"Dimo Brockhoff","orcid":"https://orcid.org/0000-0003-3566-9989"},"institutions":[{"id":"https://openalex.org/I4210138412","display_name":"Centre de recherche Inria Lille - Nord Europe","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dimo Brockhoff","raw_affiliation_strings":["Inria Lille - Nord Europe, Villeneuve d'Ascq, France","Parallel Cooperative Multi-criteria Optimization"],"affiliations":[{"raw_affiliation_string":"Inria Lille - Nord Europe, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210138412"]},{"raw_affiliation_string":"Parallel Cooperative Multi-criteria Optimization","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039669927","display_name":"Nikolaus Hansen","orcid":"https://orcid.org/0000-0001-7788-4906"},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nikolaus Hansen","raw_affiliation_strings":["Inria Saclay - Ile-de-France, Orsay, France","Machine Learning and Optimisation"],"affiliations":[{"raw_affiliation_string":"Inria Saclay - Ile-de-France, Orsay, France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"Machine Learning and Optimisation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000542454","display_name":"Dejan Tu\u0161ar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138412","display_name":"Centre de recherche Inria Lille - Nord Europe","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dejan Tu\u0161ar","raw_affiliation_strings":["Inria Lille - Nord Europe, Villeneuve d'Ascq, France","Parallel Cooperative Multi-criteria Optimization"],"affiliations":[{"raw_affiliation_string":"Inria Lille - Nord Europe, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210138412"]},{"raw_affiliation_string":"Parallel Cooperative Multi-criteria Optimization","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011577527","display_name":"Tea Tu\u0161ar","orcid":"https://orcid.org/0000-0002-6495-006X"},"institutions":[{"id":"https://openalex.org/I4210138412","display_name":"Centre de recherche Inria Lille - Nord Europe","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tea Tu\u0161ar","raw_affiliation_strings":["Inria Lille - Nord Europe, Villeneuve d'Ascq, France","Parallel Cooperative Multi-criteria Optimization"],"affiliations":[{"raw_affiliation_string":"Inria Lille - Nord Europe, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210138412"]},{"raw_affiliation_string":"Parallel Cooperative Multi-criteria Optimization","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109562191","display_name":"Tobias Wagner","orcid":"https://orcid.org/0000-0001-5064-0960"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Wagner","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112873713"],"corresponding_institution_ids":["https://openalex.org/I4210126360"],"apc_list":null,"apc_paid":null,"fwci":1.4451,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83923143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1257","last_page":"1264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965999722480774,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/test-suite","display_name":"Test suite","score":0.8475040197372437},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.7250583171844482},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5875895619392395},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.581125020980835},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5667174458503723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.537158727645874},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5292274951934814},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.5117363929748535},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4969651997089386},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.49527159333229065},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.48443129658699036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44841235876083374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43514376878738403},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.30977603793144226},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.20430871844291687},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1767599880695343},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16442090272903442},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13112637400627136}],"concepts":[{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.8475040197372437},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7250583171844482},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5875895619392395},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.581125020980835},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5667174458503723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.537158727645874},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5292274951934814},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.5117363929748535},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4969651997089386},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.49527159333229065},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.48443129658699036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44841235876083374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43514376878738403},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.30977603793144226},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.20430871844291687},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1767599880695343},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16442090272903442},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13112637400627136},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2908961.2931709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2931709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01435453v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01435453","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, CO, United States. pp.1257 - 1264, ⟨10.1145/2908961.2931709⟩","raw_type":"Conference papers"},{"id":"pmh:oai:lilloa.univ-lille.fr:20.500.12210/24388","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12210/24388","pdf_url":null,"source":{"id":"https://openalex.org/S4306402203","display_name":"LillOA (Universit\u00e9 de Lille (University Of Lille))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210123514","host_organization_name":"Centre d'Etudes en Civilisations, Langues et Litt\u00e9ratures Etrang\u00e8res","host_organization_lineage":["https://openalex.org/I4210123514"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01435453v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01435453","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, CO, United States. pp.1257 - 1264, ⟨10.1145/2908961.2931709⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6683777445","display_name":null,"funder_award_id":"ANR-12-MONU- 0009 (NumBBO)","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1950681193","https://openalex.org/W2102194164","https://openalex.org/W2325669346","https://openalex.org/W2333127178","https://openalex.org/W2345390684","https://openalex.org/W2367329470","https://openalex.org/W3105047877","https://openalex.org/W6702534707","https://openalex.org/W6708263329"],"related_works":["https://openalex.org/W1598160211","https://openalex.org/W2179621094","https://openalex.org/W2067499928","https://openalex.org/W1524028411","https://openalex.org/W2138059712","https://openalex.org/W2018145554","https://openalex.org/W2127248783","https://openalex.org/W1793348505","https://openalex.org/W4256285596","https://openalex.org/W2366485096"],"abstract_inverted_index":{"Pure":[0],"random":[1],"search":[2,8],"is":[3,24,46],"undeniably":[4],"the":[5,14,22,28,33,36,43,53,63,72,76,100,108,114],"simplest":[6],"stochastic":[7],"algorithm":[9,23,73],"for":[10,71],"numerical":[11],"optimization.":[12],"Essentially":[13],"only":[15],"thing":[16],"to":[17,20,74,99],"be":[18,83],"determined":[19],"implement":[21],"its":[25],"sampling":[26,96],"space,":[27],"influence":[29],"of":[30,42,56,58,107,113],"which":[31],"on":[32,35],"performance":[34,81],"bi-objective":[37,111],"family":[38,115],"bbob-biobj":[39,116],"test":[40,117],"suite":[41],"COCO":[44],"platform":[45],"investigated":[47],"here.":[48],"It":[49],"turns":[50],"out":[51],"that":[52],"suggested":[54],"region":[55],"interest":[57],"[-100,100]n":[59],"(with":[60],"$n$":[61],"being":[62],"problem":[64],"dimension)":[65],"has":[66],"a":[67],"too":[68],"vast":[69],"volume":[70],"approximate":[75],"Pareto":[77,124],"set":[78,125],"effectively.":[79],"Better":[80],"can":[82],"achieved":[84],"if":[85],"solutions":[86],"are":[87,127],"sampled":[88],"uniformly":[89],"within":[90,130],"[-5,5]n":[91],"or":[92],"[-4,4]n.":[93],"The":[94],"latter":[95],"box":[97],"corresponds":[98],"smallest":[101],"hypercube":[102],"encapsulating":[103],"all":[104,121],"single-objective":[105],"optima":[106],"55":[109],"constructed":[110],"problems":[112],"suite.":[118],"However,":[119],"not":[120],"best":[122],"known":[123],"approximations":[126],"entirely":[128],"contained":[129],"[-5,5]n.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}