{"id":"https://openalex.org/W3131090948","doi":"https://doi.org/10.1007/s40747-020-00263-z","title":"Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies","display_name":"Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies","publication_year":2021,"publication_date":"2021-02-18","ids":{"openalex":"https://openalex.org/W3131090948","doi":"https://doi.org/10.1007/s40747-020-00263-z","mag":"3131090948"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-020-00263-z","doi":"https://doi.org/10.1007/s40747-020-00263-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-020-00263-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-020-00263-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2199-4536","issn":["2199-4536","2198-6053"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-020-00263-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057748433","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-8242-076X","observed_orcids":["https://orcid.org/0000-0001-8242-076X"]},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054357853","display_name":"Xiang Meng","orcid":"https://orcid.org/0000-0003-1420-4373","observed_orcids":["https://orcid.org/0000-0003-1420-4373"]},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Meng","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036172354","display_name":"Ying Ping Huang","orcid":"https://orcid.org/0000-0001-8862-0092","observed_orcids":["https://orcid.org/0000-0001-8862-0092"]},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Huang","raw_affiliation_strings":["Institute of Mathematical and Computer Sciences, Gannan Normal University, Ganzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8862-0092","affiliations":[{"raw_affiliation_string":"Institute of Mathematical and Computer Sciences, Gannan Normal University, Ganzhou, China","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050976132","display_name":"Soroosh Mahmoodi","orcid":"https://orcid.org/0000-0003-4643-0244","observed_orcids":["https://orcid.org/0000-0003-4643-0244"]},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Soroosh Mahmoodi","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036172354"],"corresponding_institution_ids":["https://openalex.org/I4210119042"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":{"value":0,"currency":"USD","value_usd":0},"fwci":2.4002,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89123888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"1223","last_page":"1239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9868000149726868,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9868000149726868,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.01209999993443489,"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":0.0,"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/multi-objective-particle-swarm-optimization","display_name":"multi-objective particle swarm optimization","score":0.9980000257492065},{"id":"https://openalex.org/keywords/population-diversity-maintenance","display_name":"population diversity maintenance","score":0.847000002861023},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"premature convergence","score":0.9269999861717224},{"id":"https://openalex.org/keywords/crowding-distance","display_name":"crowding distance","score":0.8059999942779541},{"id":"https://openalex.org/keywords/pareto-optimal-solutions","display_name":"Pareto optimal solutions","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7646166086196899},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6268612742424011},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6254769563674927},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.6079525351524353},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6013382077217102},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.58962082862854},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5865177512168884},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.580848753452301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5671848058700562},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5123106241226196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44473597407341003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35025036334991455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27478522062301636},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-020-00263-z","doi":"https://doi.org/10.1007/s40747-020-00263-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-020-00263-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-020-00263-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2199-4536","issn":["2199-4536","2198-6053"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-020-00263-z","doi":"https://doi.org/10.1007/s40747-020-00263-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-020-00263-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-020-00263-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2199-4536","issn":["2199-4536","2198-6053"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G276089651","display_name":null,"funder_award_id":"20202BAB202014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G429868861","display_name":"\u57fa\u4e8e\u534f\u540c\u8fdb\u5316\u7c92\u5b50\u7fa4\u4f18\u5316\u7b97\u6cd5\u7684\u79bb\u5b50\u578b\u7a00\u571f\u6d78\u77ff\u8fc7\u7a0b\u53ca\u5176\u6c61\u67d3\u95ee\u9898\u7814\u7a76","funder_award_id":"62066019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4502375800","display_name":null,"funder_award_id":"61903089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3131090948.pdf","grobid_xml":"https://content.openalex.org/works/W3131090948.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W890304461","https://openalex.org/W939691211","https://openalex.org/W1496629945","https://openalex.org/W1587294773","https://openalex.org/W1968219458","https://openalex.org/W1995972800","https://openalex.org/W2012986677","https://openalex.org/W2033007297","https://openalex.org/W2068411105","https://openalex.org/W2079934979","https://openalex.org/W2098907614","https://openalex.org/W2102365077","https://openalex.org/W2104017154","https://openalex.org/W2109364787","https://openalex.org/W2112912151","https://openalex.org/W2123808725","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2152195021","https://openalex.org/W2166129212","https://openalex.org/W2344916885","https://openalex.org/W2521918431","https://openalex.org/W2543580944","https://openalex.org/W2563621803","https://openalex.org/W2567327143","https://openalex.org/W2581327637","https://openalex.org/W2612102354","https://openalex.org/W2625776493","https://openalex.org/W2758008099","https://openalex.org/W2764251381","https://openalex.org/W2766133347","https://openalex.org/W2790368141","https://openalex.org/W2792765706","https://openalex.org/W2799163655","https://openalex.org/W2884165914","https://openalex.org/W2891755911","https://openalex.org/W2916665654","https://openalex.org/W2941180824","https://openalex.org/W2953444249","https://openalex.org/W2956065540","https://openalex.org/W2964148549","https://openalex.org/W2975989328","https://openalex.org/W2981587540","https://openalex.org/W2985952577","https://openalex.org/W2987257425","https://openalex.org/W3005728138","https://openalex.org/W3008027046","https://openalex.org/W3008658255","https://openalex.org/W3020845104","https://openalex.org/W3033720139","https://openalex.org/W3047314119","https://openalex.org/W3081045595","https://openalex.org/W3083974266"],"related_works":["https://openalex.org/W4386414670","https://openalex.org/W2790793279","https://openalex.org/W4382299298","https://openalex.org/W2281955611","https://openalex.org/W2739194773","https://openalex.org/W7204253757","https://openalex.org/W2364001152","https://openalex.org/W3210428300","https://openalex.org/W7141777786","https://openalex.org/W4399882578"],"abstract_inverted_index":{"Abstract":[0],"Multiobjective":[1],"particle":[2,46],"swarm":[3,47],"optimization":[4,48,141],"(MOPSO)":[5],"algorithm":[6,131],"faces":[7],"the":[8,17,29,69,75,79,82,92,95,107,137,144],"difficulty":[9],"of":[10,19,32,78,94,110],"prematurity":[11],"and":[12,22,35,98,116,146,166],"insufficient":[13],"diversity":[14,34,93,167],"due":[15],"to":[16,27,67,90,105,123,157,163],"selection":[18,59],"inappropriate":[20],"leaders":[21],"inefficient":[23],"evolution":[24],"strategies.":[25],"Therefore,":[26],"circumvent":[28],"rapid":[30,108],"loss":[31,109],"population":[33,111],"premature":[36],"convergence":[37,76],"in":[38,54],"MOPSO,":[39],"this":[40],"paper":[41],"proposes":[42],"a":[43,99,114],"knowledge-guided":[44],"multiobjective":[45,140,159],"using":[49],"fusion":[50],"learning":[51,101],"strategies":[52],"(KGMOPSO),":[53],"which":[55],"an":[56],"improved":[57],"leadership":[58],"strategy":[60,102,120],"based":[61],"on":[62,143],"knowledge":[63],"utilization":[64],"is":[65,87,103,121,132,155],"presented":[66],"select":[68],"appropriate":[70],"global":[71],"leader":[72],"for":[73],"improving":[74],"ability":[77],"algorithm.":[80],"Furthermore,":[81],"similarity":[83],"between":[84],"different":[85],"individuals":[86],"dynamically":[88],"measured":[89],"detect":[91],"current":[96],"population,":[97],"diversity-enhanced":[100],"proposed":[104,129],"prevent":[106],"diversity.":[112],"Additionally,":[113],"maximum":[115],"minimum":[117],"crowding":[118],"distance":[119],"employed":[122],"obtain":[124],"excellent":[125],"nondominated":[126],"solutions.":[127],"The":[128],"KGMOPSO":[130,154],"evaluated":[133],"by":[134],"comparisons":[135],"with":[136,161],"existing":[138],"state-of-the-art":[139],"algorithms":[142,160],"ZDT":[145],"DTLZ":[147],"test":[148],"instances.":[149],"Experimental":[150],"results":[151],"illustrate":[152],"that":[153],"superior":[156],"other":[158],"regard":[162],"solution":[164],"quality":[165],"maintenance.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2021-03-01T00:00:00"}
