{"id":"https://openalex.org/W3046638427","doi":"https://doi.org/10.1145/3377929.3390019","title":"Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation","display_name":"Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046638427","doi":"https://doi.org/10.1145/3377929.3390019","mag":"3046638427"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3390019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390019","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":"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/A5038261065","display_name":"Jhih-Wei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jhih-Wei Chen","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069786246","display_name":"Ming\u2010Chun Lu","orcid":"https://orcid.org/0000-0001-5293-0718"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Chun Lu","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011802505","display_name":"Tian\u2013Li Yu","orcid":"https://orcid.org/0000-0002-0273-9330"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tian-Li Yu","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038261065"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53755611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7256964445114136},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.7154356241226196},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7122886180877686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6817908883094788},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6566410660743713},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5626038908958435},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5567843914031982},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.5081360340118408},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.45012617111206055},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.2041422724723816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19032087922096252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16244569420814514}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7256964445114136},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.7154356241226196},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7122886180877686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817908883094788},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6566410660743713},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5626038908958435},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5567843914031982},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.5081360340118408},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.45012617111206055},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.2041422724723816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19032087922096252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16244569420814514},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3390019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390019","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":[{"id":"https://metadata.un.org/sdg/8","score":0.41999998688697815,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1975009952","https://openalex.org/W2138537392","https://openalex.org/W4292919214"],"related_works":["https://openalex.org/W2353523849","https://openalex.org/W4299455866","https://openalex.org/W2995097707","https://openalex.org/W3034393045","https://openalex.org/W2088150073","https://openalex.org/W1988325824","https://openalex.org/W4309490307","https://openalex.org/W1603259840","https://openalex.org/W3123386130","https://openalex.org/W2351380831"],"abstract_inverted_index":{"Continuous":[0],"optimization":[1,47],"problems,":[2,9],"which":[3],"are":[4,10,14,49,133],"highly":[5],"related":[6],"to":[7,37,78,91,100,119],"real-world":[8],"difficult":[11],"since":[12],"they":[13],"multimodal":[15],"and":[16,28,116,139,163],"rugged.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"introduce":[22],"a":[23,72,85,108,145],"new":[24,73,86,109,146],"algorithm":[25],"called":[26],"Global":[27],"Local":[29],"Adaptation":[30],"with":[31,40,95,128],"Clustering":[32],"Embedded":[33],"Resource":[34],"Allocation":[35],"(GLACERA)":[36],"solve":[38,67,144],"problems":[39,48,69,159],"relaxed":[41],"conditions.":[42],"We":[43,125],"believe":[44],"that":[45,132,141],"continuous":[46,137],"solvable":[50],"as":[51,53,59],"long":[52],"the":[54,63,68],"local":[55,82,105],"optima":[56],"can":[57,143],"serve":[58],"clues":[60],"for":[61,103,113,136],"finding":[62],"global":[64,93],"optimum.":[65,106],"To":[66],"more":[70],"efficiently,":[71],"clustering":[74],"technique":[75],"is":[76,98,111],"proposed":[77,112],"help":[79],"identify":[80],"potential":[81],"optima.":[83],"Then,":[84],"multi-armed":[87],"bandit":[88],"technique,":[89],"aiming":[90],"reach":[92],"optimum":[94],"greater":[96],"probability,":[97],"presented":[99],"allocate":[101],"resources":[102],"each":[104],"Finally,":[107],"formula":[110],"balancing":[114],"exploration":[115],"exploitation":[117],"according":[118],"remaining":[120],"number":[121],"of":[122,148,160],"function":[123],"evaluations.":[124],"compare":[126],"GLACERA":[127],"four":[129],"milestone":[130],"algorithms":[131],"commonly":[134],"used":[135],"optimization,":[138],"show":[140],"it":[142],"class":[147],"functions":[149],"while":[150,153],"others":[151],"failed,":[152],"remain":[154],"competitive":[155],"in":[156],"solving":[157],"benchmark":[158],"IEEE":[161,164],"CEC2005":[162],"CEC2013.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}