{"id":"https://openalex.org/W4306952720","doi":"https://doi.org/10.1145/3538641.3561485","title":"A dynamic mutation particle swarm optimization algorithm","display_name":"A dynamic mutation particle swarm optimization algorithm","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4306952720","doi":"https://doi.org/10.1145/3538641.3561485"},"language":"en","primary_location":{"id":"doi:10.1145/3538641.3561485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3538641.3561485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3538641.3561485","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3538641.3561485","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100690600","display_name":"Yang Zhang","orcid":"https://orcid.org/0009-0004-9675-9296"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Hosei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403791","display_name":"Jiacheng Li","orcid":"https://orcid.org/0009-0007-1308-2550"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiacheng Li","raw_affiliation_strings":["Kanagawa University, Yokohama Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanagawa University, Yokohama Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065422134","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-1857-8233"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["Hosei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42766323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"4","issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9848999977111816,"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":0.9595999717712402,"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/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.7826579213142395},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7472637891769409},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7263426184654236},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.697731614112854},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.6809859275817871},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.6521583199501038},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5732277035713196},{"id":"https://openalex.org/keywords/derivative-free-optimization","display_name":"Derivative-free optimization","score":0.543491542339325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5165635347366333},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.51591956615448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5092366933822632},{"id":"https://openalex.org/keywords/imperialist-competitive-algorithm","display_name":"Imperialist competitive algorithm","score":0.4771021008491516},{"id":"https://openalex.org/keywords/adaptive-mutation","display_name":"Adaptive mutation","score":0.4766819477081299},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4720780849456787},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4641718864440918},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.45945507287979126},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3907480239868164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29792895913124084},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11055168509483337},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05620300769805908}],"concepts":[{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.7826579213142395},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7472637891769409},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7263426184654236},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.697731614112854},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.6809859275817871},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.6521583199501038},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5732277035713196},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.543491542339325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5165635347366333},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.51591956615448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5092366933822632},{"id":"https://openalex.org/C101219045","wikidata":"https://www.wikidata.org/wiki/Q10859646","display_name":"Imperialist competitive algorithm","level":4,"score":0.4771021008491516},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.4766819477081299},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4720780849456787},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4641718864440918},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.45945507287979126},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3907480239868164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29792895913124084},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11055168509483337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05620300769805908},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3538641.3561485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3538641.3561485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3538641.3561485","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3538641.3561485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3538641.3561485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3538641.3561485","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306952720.pdf","grobid_xml":"https://content.openalex.org/works/W4306952720.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2036258737","https://openalex.org/W2061438946","https://openalex.org/W2607099977","https://openalex.org/W2782012288","https://openalex.org/W2887408556","https://openalex.org/W2908286818","https://openalex.org/W2975802621","https://openalex.org/W3108081931","https://openalex.org/W3145492107","https://openalex.org/W4200589899","https://openalex.org/W4214592415","https://openalex.org/W4250503569"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2351868275","https://openalex.org/W2885991329","https://openalex.org/W2391889613","https://openalex.org/W2371869200","https://openalex.org/W2893292693","https://openalex.org/W2355013257","https://openalex.org/W2353640252","https://openalex.org/W2107369277"],"abstract_inverted_index":{"In":[0,102],"view":[1],"of":[2,5,16,44,47,65,94],"the":[3,6,14,42,45,48,62,66,73,91,95,115,119],"drawbacks":[4],"conventional":[7],"particle":[8,34,49],"swarm":[9,35,50],"optimization":[10,36,51,100,112,129],"algorithm,":[11,52],"such":[12,53],"as":[13,54],"ease":[15],"falling":[17],"into":[18],"local":[19],"extreme":[20],"values,":[21],"poorer":[22],"diversity,":[23],"and":[24,59,77,80,97,114,127],"slower":[25],"convergence":[26,57,92,125],"speed":[27,58,93,126],"in":[28],"subsequent":[29],"optimization,":[30],"a":[31,55,83,123],"dynamic":[32,74],"mutation":[33,63,78],"algorithm":[37,68,96],"(DMPSO)":[38],"is":[39,69],"proposed.":[40],"On":[41],"basis":[43],"characteristics":[46],"fast":[56],"simple":[60],"mechanism,":[61],"mechanism":[64],"genetic":[67],"introduced.":[70],"We":[71],"redesigned":[72],"inertia":[75],"weight":[76],"rate,":[79],"we":[81],"added":[82],"ratio":[84],"adjustment":[85],"formula":[86],"for":[87,110],"speed,":[88],"which":[89],"accelerates":[90],"improves":[98],"its":[99],"performance.":[101,130],"an":[103,111],"experiment,":[104],"six":[105],"benchmark":[106],"functions":[107],"were":[108],"selected":[109],"test,":[113],"results":[116],"show":[117],"that":[118],"proposed":[120],"method":[121],"has":[122],"faster":[124],"better":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}