{"id":"https://openalex.org/W3008383955","doi":"https://doi.org/10.1109/ssci44817.2019.9002766","title":"Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study","display_name":"Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008383955","doi":"https://doi.org/10.1109/ssci44817.2019.9002766","mag":"3008383955"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9002766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5075302889","display_name":"Teddy Etoeharnowo","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Teddy Etoeharnowo","raw_affiliation_strings":["LIACS, Leiden University, Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, the Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083558866","display_name":"Koen Castelein","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Koen Castelein","raw_affiliation_strings":["LIACS, Leiden University, Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, the Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658894","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-4933-5181"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["LIACS, Leiden University, Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, the Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas Back","raw_affiliation_strings":["LIACS, Leiden University, Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, the Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075302889"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19907804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2295","last_page":"2302"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9926999807357788,"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":0.9922999739646912,"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/swarm-behaviour","display_name":"Swarm behaviour","score":0.7556533813476562},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.7281469106674194},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6841111183166504},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6787049174308777},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.6396817564964294},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5805366635322571},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5793548226356506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5779329538345337},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5349660515785217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4997732639312744},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4981210231781006},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4107835292816162},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.2794160842895508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2513010799884796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16181892156600952},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.07151427865028381}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.7556533813476562},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.7281469106674194},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6841111183166504},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6787049174308777},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.6396817564964294},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5805366635322571},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5793548226356506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5779329538345337},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5349660515785217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4997732639312744},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4981210231781006},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4107835292816162},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.2794160842895508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2513010799884796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16181892156600952},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.07151427865028381},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9002766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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":16,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1499983649","https://openalex.org/W1849730171","https://openalex.org/W1977474365","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2138537392","https://openalex.org/W2402846924","https://openalex.org/W2543580944","https://openalex.org/W2725422154","https://openalex.org/W2888117837","https://openalex.org/W2951665692","https://openalex.org/W3098258749","https://openalex.org/W3209581048","https://openalex.org/W6629686014","https://openalex.org/W6802997697"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2351868275","https://openalex.org/W2365047340","https://openalex.org/W2355013257","https://openalex.org/W3135446416","https://openalex.org/W4225799919","https://openalex.org/W2107369277","https://openalex.org/W2893292693","https://openalex.org/W2925176593"],"abstract_inverted_index":{"In":[0,71],"this":[1,37],"paper,":[2],"it":[3,81],"is":[4,43,82,90,104],"proposed":[5,88],"to":[6,106],"switch":[7],"between":[8],"swarm":[9,25,47,109,140],"optimization":[10,14,26,118],"algorithms":[11,68],"during":[12],"the":[13,19,31,77,85,94,101,115,131,136,148,151],"process,":[15],"aiming":[16],"at":[17],"combining":[18],"best":[20,78],"performance":[21,137,149],"from":[22],"each":[23,107],"single":[24],"algorithm":[27,110],"and":[28,57],"hence":[29],"improving":[30],"overall":[32],"empirical":[33,41],"performance.":[34],"To":[35],"investigate":[36],"switching":[38,79,102,132],"scheme,":[39],"an":[40],"study":[42],"carried":[44],"on":[45,93],"four":[46,67],"algorithms,":[48],"Particle":[49],"Swarm":[50,59],"Optimization,":[51],"Gravitational":[52],"Search,":[53],"Grey":[54],"Wolf":[55],"Optimizer":[56],"Chicken":[58],"Optimization.":[60],"All":[61],"possible":[62],"switches":[63],"(combinations)":[64],"among":[65],"those":[66],"are":[69],"tested.":[70],"addition,":[72],"instead":[73],"of":[74,138,144,150],"searching":[75],"for":[76],"point,":[80],"prescribed":[83],"in":[84],"experiment.":[86],"The":[87,127],"method":[89,103],"empirically":[91],"investigated":[92],"so-called":[95],"Black-Box":[96],"Optimization":[97],"Benchmark":[98],"(BBOB),":[99],"where":[100],"compared":[105],"individual":[108,139],"as":[111,113],"well":[112],"using":[114],"state-of-the-art":[116],"black-box":[117],"algorithm,":[119],"BIPOP-CMAES":[120],"(BI-population":[121],"Covariance":[122],"Matrix":[123],"Adaptation":[124],"Evolution":[125],"Strategy).":[126],"result":[128],"shows":[129],"that":[130],"approach":[133],"generally":[134],"improves":[135],"algorithms.":[141],"However,":[142],"none":[143],"them":[145],"can":[146],"rival":[147],"BIPOP-CMA-ES.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
