{"id":"https://openalex.org/W3206897020","doi":"https://doi.org/10.4018/ijsir.2021100108","title":"Hybrid Multi-Population and Adaptive Search Range Strategy With Particle Swarm Optimization for Multimodal Optimization","display_name":"Hybrid Multi-Population and Adaptive Search Range Strategy With Particle Swarm Optimization for Multimodal Optimization","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3206897020","doi":"https://doi.org/10.4018/ijsir.2021100108","mag":"3206897020"},"language":"en","primary_location":{"id":"doi:10.4018/ijsir.2021100108","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2021100108","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-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/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035384451","display_name":"Zepeng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Shen","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100639707","display_name":"Peng Yao","orcid":"https://orcid.org/0000-0001-6129-045X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Peng","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15440906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"146","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/mathematical-optimization","display_name":"Mathematical optimization","score":0.767949104309082},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6949208974838257},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6524641513824463},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.6235288977622986},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5739811062812805},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5664541721343994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5602660179138184},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.52705979347229},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5203287601470947},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.504245400428772},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41420334577560425},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.410238653421402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35481810569763184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07123875617980957}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.767949104309082},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6949208974838257},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6524641513824463},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.6235288977622986},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5739811062812805},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5664541721343994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5602660179138184},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.52705979347229},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5203287601470947},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.504245400428772},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41420334577560425},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.410238653421402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35481810569763184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07123875617980957},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsir.2021100108","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2021100108","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsir00:v:12:y:2021:i:4:p:146-168","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.2021100108","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W37708426","https://openalex.org/W1127095158","https://openalex.org/W1834439319","https://openalex.org/W1859314164","https://openalex.org/W2026712239","https://openalex.org/W2139421749","https://openalex.org/W2160694855","https://openalex.org/W2161108110","https://openalex.org/W2272065637","https://openalex.org/W2418607927","https://openalex.org/W2644026808","https://openalex.org/W2971217618","https://openalex.org/W3004276184"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2950423922","https://openalex.org/W2116074880","https://openalex.org/W2121780490","https://openalex.org/W2070977815","https://openalex.org/W2137136732","https://openalex.org/W2123829500","https://openalex.org/W2132113279"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"algorithm":[4,28],"named":[5],"hybrid":[6],"multi-population":[7],"and":[8,42,68,76,98,116],"adaptive":[9],"search":[10,34,53,66,114,118],"range":[11],"strategy":[12],"with":[13,139],"particle":[14],"swarm":[15],"optimization":[16,21],"(ARPSO)":[17],"for":[18,133],"solving":[19,134],"multimodal":[20],"problems.":[22],"The":[23],"main":[24],"idea":[25],"of":[26,71,92],"the":[27,32,52,69,72,80,90,96,102,112,123],"is":[29,110],"to":[30,57],"divide":[31],"global":[33,73,97,103,113,142],"space":[35,67,115,119],"into":[36],"multiple":[37,146],"sub-populations":[38],"searching":[39],"in":[40,64,77,83],"parallel":[41],"independently.":[43],"For":[44,89],"diversity":[45],"increasing,":[46],"each":[47,78],"sub-population":[48],"will":[49,86,120],"continuously":[50],"change":[51],"area":[54,85],"adaptively":[55],"according":[56],"whether":[58],"there":[59],"are":[60],"local":[61,99,107,117,147],"optimal":[62,74,81,104,108,124,143,148],"solutions":[63],"its":[65],"position":[70],"solution,":[75],"iteration,":[79],"solution":[82,105,109,144],"this":[84],"be":[87],"reserved.":[88],"purpose":[91],"accelerating":[93],"convergence,":[94],"at":[95],"levels,":[100],"when":[101],"or":[106],"found,":[111],"shrink":[121],"toward":[122],"solution.":[125],"Experiments":[126],"show":[127],"that":[128],"ARPSO":[129],"has":[130],"unique":[131],"advantages":[132],"multi-dimensional":[135],"problems,":[136],"especially":[137],"problems":[138],"only":[140],"one":[141],"but":[145],"solutions.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
