{"id":"https://openalex.org/W2076941815","doi":"https://doi.org/10.1109/cec.2014.6900374","title":"Extending Minimum Population Search towards large scale global optimization","display_name":"Extending Minimum Population Search towards large scale global optimization","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2076941815","doi":"https://doi.org/10.1109/cec.2014.6900374","mag":"2076941815"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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/A5077355562","display_name":"Antonio Boluf\u00e9-R\u00f6hler","orcid":"https://orcid.org/0000-0002-3181-1864"},"institutions":[{"id":"https://openalex.org/I2656126","display_name":"University of Havana","ror":"https://ror.org/04204gr61","country_code":"CU","type":"education","lineage":["https://openalex.org/I2656126"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Antonio Bolufe-Rohler","raw_affiliation_strings":["Universidad de la Habana, Habana, Habana, CU","University of Havana Havana Cuba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Habana, Habana, Habana, CU","institution_ids":["https://openalex.org/I2656126"]},{"raw_affiliation_string":"University of Havana Havana Cuba","institution_ids":["https://openalex.org/I2656126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044711688","display_name":"Stephen Chen","orcid":"https://orcid.org/0000-0001-8657-6200"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stephen Chen","raw_affiliation_strings":["York University, Toronto, ON, Canada","York University , Toronto , ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University , Toronto , ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0244,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78193314,"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":"845","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"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":0.9980000257492065,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7244293689727783},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6804152727127075},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6472377181053162},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5947654843330383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.594276487827301},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5663844347000122},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4622478485107422},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.44237393140792847},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.42152276635169983},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41788822412490845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2747178077697754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09123298525810242}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7244293689727783},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6804152727127075},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6472377181053162},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5947654843330383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.594276487827301},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5663844347000122},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4622478485107422},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.44237393140792847},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.42152276635169983},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41788822412490845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2747178077697754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09123298525810242},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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":27,"referenced_works":["https://openalex.org/W1499983649","https://openalex.org/W1595159159","https://openalex.org/W1978470383","https://openalex.org/W1986345851","https://openalex.org/W1987267431","https://openalex.org/W1996936486","https://openalex.org/W2005371863","https://openalex.org/W2018465333","https://openalex.org/W2024991751","https://openalex.org/W2045067082","https://openalex.org/W2059400389","https://openalex.org/W2076624895","https://openalex.org/W2078902228","https://openalex.org/W2090848059","https://openalex.org/W2100211715","https://openalex.org/W2126328232","https://openalex.org/W2127130980","https://openalex.org/W2135564892","https://openalex.org/W2139386984","https://openalex.org/W2149839388","https://openalex.org/W2155005783","https://openalex.org/W2167090712","https://openalex.org/W2168346719","https://openalex.org/W2341171179","https://openalex.org/W2916083864","https://openalex.org/W6629686014","https://openalex.org/W6759375221"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2070977815","https://openalex.org/W2950423922","https://openalex.org/W2161494499","https://openalex.org/W2121780490","https://openalex.org/W2137136732"],"abstract_inverted_index":{"Minimum":[0,95,135],"Population":[1,96,136],"Search":[2,97,137],"is":[3,16],"a":[4,53,106,111,151],"new":[5],"metaheuristic":[6],"specifically":[7],"designed":[8],"for":[9,125],"optimizing":[10],"multi-modal":[11,147],"problems.":[12],"Its":[13],"core":[14],"idea":[15],"to":[17,65,67],"guarantee":[18],"exploration":[19,92,114],"in":[20,72],"all":[21],"dimensions":[22],"of":[23,38,44,154],"the":[24,28,36,41,63,116,129],"search":[25,54,75,107],"space":[26],"with":[27],"smallest":[29],"possible":[30],"population.":[31],"A":[32],"small":[33],"population":[34],"increases":[35,71],"chances":[37],"convergence":[39,102,127],"and":[40,81,93,118,141],"efficient":[42],"use":[43],"function":[45,122],"evaluations":[46,123],"\u2014":[47],"an":[48],"important":[49],"consideration":[50],"when":[51],"scaling":[52],"technique":[55,108],"up":[56],"towards":[57],"large":[58],"scale":[59],"global":[60],"optimization.":[61],"As":[62],"cost":[64],"converge":[66],"any":[68],"local":[69],"optimum":[70],"high":[73],"dimensional":[74],"spaces,":[76],"metaheuristics":[77],"must":[78],"focus":[79],"more":[80,82],"on":[83,145],"gradient":[84],"exploitation.":[85],"To":[86],"successfully":[87],"maintain":[88],"its":[89],"balance":[90],"between":[91],"exploitation,":[94],"uses":[98],"thresheld":[99],"convergence.":[100],"Thresheld":[101],"can":[103],"ensure":[104],"that":[105,134],"will":[109],"perform":[110],"broad,":[112],"unbiased":[113],"at":[115,128],"beginning":[117],"also":[119],"have":[120],"enough":[121],"allocated":[124],"proper":[126],"end.":[130],"Experimental":[131],"results":[132],"show":[133],"outperforms":[138],"Differential":[139],"Evolution":[140],"Particle":[142],"Swarm":[143],"Optimization":[144],"complex":[146],"fitness":[148],"functions":[149],"across":[150],"broad":[152],"range":[153],"problem":[155],"sizes.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
