{"id":"https://openalex.org/W4322618452","doi":"https://doi.org/10.1587/transinf.2022edp7119","title":"A Non-Revisiting Equilibrium Optimizer Algorithm","display_name":"A Non-Revisiting Equilibrium Optimizer Algorithm","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W4322618452","doi":"https://doi.org/10.1587/transinf.2022edp7119"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022edp7119","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7119","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7119/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7119/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008775611","display_name":"Baohang Zhang","orcid":"https://orcid.org/0000-0002-8612-0649"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Baohang ZHANG","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069376593","display_name":"Haichuan Yang","orcid":"https://orcid.org/0000-0001-7100-7945"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haichuan YANG","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007982810","display_name":"Tao Zheng","orcid":"https://orcid.org/0000-0001-5363-8137"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tao ZHENG","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023801960","display_name":"Rong\u2010Long Wang","orcid":"https://orcid.org/0009-0004-6354-3632"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rong-Long WANG","raw_affiliation_strings":["Faculty of Engineering, University of Fukui"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Fukui","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce GAO","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77005815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"E106.D","issue":"3","first_page":"365","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983000159263611,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7233371138572693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944872140884399},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.650747537612915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6321082711219788},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5927382111549377},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5744425654411316},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5509181022644043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18550774455070496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1617230474948883}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7233371138572693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944872140884399},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.650747537612915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6321082711219788},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5927382111549377},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5744425654411316},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5509181022644043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18550774455070496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1617230474948883},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2022edp7119","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7119","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7119/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022edp7119","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7119","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7119/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1472198453","display_name":null,"funder_award_id":"JPMJSP2145","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G1866405319","display_name":null,"funder_award_id":"JP22H03643","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6765918099","display_name":null,"funder_award_id":"JP19K22891","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G678656017","display_name":null,"funder_award_id":"JPMJFS2115","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4322618452.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1494192115","https://openalex.org/W1522440472","https://openalex.org/W1530490667","https://openalex.org/W1973965874","https://openalex.org/W1986226325","https://openalex.org/W1999730307","https://openalex.org/W2004617458","https://openalex.org/W2012078228","https://openalex.org/W2026623510","https://openalex.org/W2149368520","https://openalex.org/W2150308059","https://openalex.org/W2165810451","https://openalex.org/W2187537484","https://openalex.org/W2226991558","https://openalex.org/W2232317135","https://openalex.org/W2288517616","https://openalex.org/W2290883490","https://openalex.org/W2339005802","https://openalex.org/W2543580944","https://openalex.org/W2972256350","https://openalex.org/W2979909004","https://openalex.org/W2985845430","https://openalex.org/W2998173449","https://openalex.org/W3006746595","https://openalex.org/W3008773008","https://openalex.org/W3009947049","https://openalex.org/W3011394097","https://openalex.org/W3098395929","https://openalex.org/W3104621635","https://openalex.org/W3116789974","https://openalex.org/W3120057316","https://openalex.org/W3135394543","https://openalex.org/W3164361226","https://openalex.org/W3184078521","https://openalex.org/W3184980526","https://openalex.org/W3202048978","https://openalex.org/W4200517031","https://openalex.org/W4205821273","https://openalex.org/W4210426572","https://openalex.org/W4236605548"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2051487156","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2997067626","https://openalex.org/W2045438354"],"abstract_inverted_index":{"The":[0],"equilibrium":[1,18],"optimizer":[2],"(EO)":[3],"is":[4,12,37,76,102],"a":[5,27,71,99,120],"novel":[6],"physics-based":[7],"meta-heuristic":[8,168],"optimization":[9,29,169],"algorithm":[10,57,69,117,143,163],"that":[11,159],"inspired":[13],"by":[14,87],"estimating":[15],"dynamics":[16],"and":[17],"states":[19],"in":[20,60,118,127],"controlled":[21],"volume":[22],"mass":[23],"balance":[24],"models.":[25],"As":[26],"stochastic":[28],"algorithm,":[30],"EO":[31,68,174],"inevitably":[32],"produces":[33],"duplicated":[34,49],"solutions,":[35],"which":[36,131],"wasteful":[38],"of":[39,48,55,146],"valuable":[40],"evaluation":[41,95],"opportunities.":[42,96],"In":[43,63],"addition,":[44],"an":[45,66],"excessive":[46],"number":[47],"solutions":[50,85],"can":[51],"increase":[52],"the":[53,56,88,104,116,124,128,135,142,147,154,160,172],"risk":[54],"getting":[58],"trapped":[59],"local":[61,148],"optima.":[62],"this":[64],"paper,":[65],"improved":[67],"with":[70,153],"bis-population-based":[72],"non-revisiting":[73],"(BNR)":[74],"mechanism":[75,106,113],"proposed,":[77],"namely":[78],"BEO.":[79],"It":[80],"aims":[81],"to":[82,114],"eliminate":[83],"duplicate":[84],"generated":[86],"population":[89,111,137],"during":[90],"iterations,":[91],"thus":[92],"avoiding":[93],"wasted":[94],"Furthermore,":[97],"when":[98],"revisited":[100],"solution":[101,122],"detected,":[103],"BNR":[105],"activates":[107],"its":[108],"unique":[109],"archive":[110],"learning":[112],"assist":[115],"generating":[119],"high-quality":[121],"using":[123],"excellent":[125],"genes":[126],"historical":[129],"information,":[130],"not":[132],"only":[133],"improves":[134],"algorithm's":[136],"diversity":[138],"but":[139],"also":[140],"helps":[141],"get":[144],"out":[145],"optimum":[149],"dilemma.":[150],"Experimental":[151],"findings":[152],"IEEE":[155],"CEC2017":[156],"benchmark":[157],"demonstrate":[158],"proposed":[161],"BEO":[162],"outperforms":[164],"other":[165],"seven":[166],"representative":[167],"techniques,":[170],"including":[171],"original":[173],"algorithm.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}