{"id":"https://openalex.org/W2000480808","doi":"https://doi.org/10.1109/icnc.2013.6818022","title":"A hybrid particle swarm optimization strategy for multimodal function optimization","display_name":"A hybrid particle swarm optimization strategy for multimodal function optimization","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2000480808","doi":"https://doi.org/10.1109/icnc.2013.6818022","mag":"2000480808"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2013.6818022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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/A5101557397","display_name":"Haiping Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiping Yu","raw_affiliation_strings":["Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China","Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China#TAB#","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109432843","display_name":"Fengli Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Zhou","raw_affiliation_strings":["Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China","Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Faculty of Information Engineering, City College Wuhan University of Science and Technology, Wuhan, China#TAB#","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101557397"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06781392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"88","issue":null,"first_page":"471","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9918000102043152,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8435927033424377},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.841111958026886},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7277969121932983},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6788477897644043},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.66828453540802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071180105209351},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5818767547607422},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.5468863248825073},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5431643128395081},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.5309260487556458},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49719932675361633},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.45703139901161194},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.44928833842277527},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4354761838912964},{"id":"https://openalex.org/keywords/derivative-free-optimization","display_name":"Derivative-free optimization","score":0.42113423347473145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3565680980682373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22138816118240356}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8435927033424377},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.841111958026886},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7277969121932983},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6788477897644043},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.66828453540802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071180105209351},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5818767547607422},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.5468863248825073},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5431643128395081},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.5309260487556458},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49719932675361633},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.45703139901161194},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.44928833842277527},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4354761838912964},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.42113423347473145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3565680980682373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22138816118240356},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2013.6818022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965392777","https://openalex.org/W1981411561","https://openalex.org/W2001014165","https://openalex.org/W2002197318","https://openalex.org/W2009887701","https://openalex.org/W2016805124","https://openalex.org/W2059054532","https://openalex.org/W2099551750","https://openalex.org/W2117034714","https://openalex.org/W2135646341","https://openalex.org/W2150748935","https://openalex.org/W2151038535","https://openalex.org/W2152195021","https://openalex.org/W2157601049","https://openalex.org/W2168819089","https://openalex.org/W6665483811","https://openalex.org/W6683477168"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2357162635","https://openalex.org/W2140214100","https://openalex.org/W2365047340","https://openalex.org/W2351868275","https://openalex.org/W2893292693","https://openalex.org/W4315650968","https://openalex.org/W2735946150","https://openalex.org/W2965954302"],"abstract_inverted_index":{"Particle":[0],"swarm":[1,24,123],"optimization":[2,25,124],"is":[3,47,71,125],"easy":[4],"to":[5,16,64,73,127],"fall":[6],"into":[7,86],"local":[8,87],"minima,":[9],"defects":[10],"and":[11,79,108,110,116,130],"poor":[12],"precision.":[13],"In":[14],"order":[15],"solve":[17],"the":[18,39,42,57,60,76,91,105,111,114,120],"above":[19],"problem,":[20],"a":[21,52],"hybrid":[22,106,121],"particle":[23,122],"named":[26],"HPSO":[27],"has":[28],"been":[29],"proposed":[30],"in":[31,59,90],"this":[32],"paper.":[33],"The":[34],"new":[35],"method":[36],"focuses":[37],"on":[38,99],"change":[40],"of":[41,44,51,56,113],"position":[43],"particle,":[45],"which":[46],"updated":[48],"by":[49],"means":[50],"radial":[53],"symmetric":[54],"function":[55],"center":[58],"iterative":[61],"process.":[62,93],"And":[63],"avoid":[65],"premature":[66],"convergence,":[67],"simulated":[68],"annealing":[69],"algorithm":[70],"employed":[72],"dynamically":[74],"adjust":[75],"inertia":[77],"weight":[78],"social":[80],"cognitive":[81],"parameters":[82],"for":[83,103],"avoiding":[84],"falling":[85],"optimal":[88],"optimum":[89],"searching":[92],"Finally,":[94],"experiments":[95],"are":[96],"carried":[97],"out":[98],"six":[100],"multimodal":[101],"functions":[102],"testing":[104],"efficiency":[107],"scalability,":[109],"results":[112],"simulation":[115],"comparison":[117],"show":[118],"that":[119],"verified":[126],"be":[128],"effective":[129],"scalable.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
