{"id":"https://openalex.org/W3084662774","doi":"https://doi.org/10.4018/ijamc.2020100102","title":"An Overview of Mutation Strategies in Particle Swarm Optimization","display_name":"An Overview of Mutation Strategies in Particle Swarm Optimization","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3084662774","doi":"https://doi.org/10.4018/ijamc.2020100102","mag":"3084662774"},"language":"en","primary_location":{"id":"doi:10.4018/ijamc.2020100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2020100102","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"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 Applied Metaheuristic Computing","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/A5113681529","display_name":"Waqas Haider Bangyal","orcid":null},"institutions":[{"id":"https://openalex.org/I99165933","display_name":"University of Gujrat","ror":"https://ror.org/01xe5fb92","country_code":"PK","type":"education","lineage":["https://openalex.org/I99165933"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Waqas Haider Bangyal","raw_affiliation_strings":["University of Gujrat, Gujrat City, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-5797-4821","affiliations":[{"raw_affiliation_string":"University of Gujrat, Gujrat City, Pakistan","institution_ids":["https://openalex.org/I99165933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457839","display_name":"Jamil Ahmad","orcid":"https://orcid.org/0000-0001-8058-5480"},"institutions":[{"id":"https://openalex.org/I178777954","display_name":"Kohat University of Science and Technology","ror":"https://ror.org/057d2v504","country_code":"PK","type":"education","lineage":["https://openalex.org/I178777954"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Jamil Ahmad","raw_affiliation_strings":["Kohat University of Science and Technology (KUST), Kohat, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kohat University of Science and Technology (KUST), Kohat, Pakistan","institution_ids":["https://openalex.org/I178777954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070901131","display_name":"Hafiz Tayyab Rauf","orcid":"https://orcid.org/0000-0002-1515-3187"},"institutions":[{"id":"https://openalex.org/I99165933","display_name":"University of Gujrat","ror":"https://ror.org/01xe5fb92","country_code":"PK","type":"education","lineage":["https://openalex.org/I99165933"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Hafiz Tayyab Rauf","raw_affiliation_strings":["University of Gujrat, Gujrat City, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gujrat, Gujrat City, Pakistan","institution_ids":["https://openalex.org/I99165933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1354,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.56111195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"4","first_page":"16","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9912999868392944,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9817000031471252,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.821924090385437},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.6695804595947266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336879134178162},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5858487486839294},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5169662833213806},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4877503514289856},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4731137454509735},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.416690468788147},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.41392752528190613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3228440582752228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28134334087371826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16371449828147888},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05919697880744934}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.821924090385437},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.6695804595947266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336879134178162},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5858487486839294},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5169662833213806},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4877503514289856},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4731137454509735},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.416690468788147},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.41392752528190613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3228440582752228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28134334087371826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16371449828147888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05919697880744934},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijamc.2020100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2020100102","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"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 Applied Metaheuristic Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jamc00:v:11:y:2020:i:4:p:16-37","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMC.2020100102","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":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1480009307","https://openalex.org/W1502587834","https://openalex.org/W1526731410","https://openalex.org/W1545730907","https://openalex.org/W1571541820","https://openalex.org/W1573676079","https://openalex.org/W1578249005","https://openalex.org/W1587614741","https://openalex.org/W1589512102","https://openalex.org/W1925428099","https://openalex.org/W1968075052","https://openalex.org/W1978740922","https://openalex.org/W1991093619","https://openalex.org/W1994867044","https://openalex.org/W1996310596","https://openalex.org/W2017499466","https://openalex.org/W2020587807","https://openalex.org/W2054629456","https://openalex.org/W2055341450","https://openalex.org/W2062083269","https://openalex.org/W2066784699","https://openalex.org/W2076158641","https://openalex.org/W2084876358","https://openalex.org/W2088121937","https://openalex.org/W2092767520","https://openalex.org/W2098185031","https://openalex.org/W2099750347","https://openalex.org/W2104017154","https://openalex.org/W2104611144","https://openalex.org/W2106655231","https://openalex.org/W2107748971","https://openalex.org/W2111227481","https://openalex.org/W2126554879","https://openalex.org/W2131613989","https://openalex.org/W2131622219","https://openalex.org/W2136909648","https://openalex.org/W2137678909","https://openalex.org/W2138727729","https://openalex.org/W2139501078","https://openalex.org/W2145597414","https://openalex.org/W2152195021","https://openalex.org/W2152199498","https://openalex.org/W2153879578","https://openalex.org/W2155743537","https://openalex.org/W2156559452","https://openalex.org/W2157703713","https://openalex.org/W2158242120","https://openalex.org/W2162410485","https://openalex.org/W2164589915","https://openalex.org/W2165299997","https://openalex.org/W2166988039","https://openalex.org/W2167420409","https://openalex.org/W2170000328","https://openalex.org/W2247882351","https://openalex.org/W2366055890","https://openalex.org/W2386348103","https://openalex.org/W2550584966","https://openalex.org/W2552877122","https://openalex.org/W2557745602","https://openalex.org/W2594209723","https://openalex.org/W2603745833","https://openalex.org/W2614216270","https://openalex.org/W2765298718","https://openalex.org/W2770070991","https://openalex.org/W2890965349","https://openalex.org/W2892289078","https://openalex.org/W2963103847","https://openalex.org/W3148270264","https://openalex.org/W4252021439","https://openalex.org/W4285719527","https://openalex.org/W4292083457","https://openalex.org/W4302598362","https://openalex.org/W6603424559","https://openalex.org/W6679625449"],"related_works":["https://openalex.org/W2586739852","https://openalex.org/W1605947003","https://openalex.org/W3140154801","https://openalex.org/W1990169213","https://openalex.org/W1545730907","https://openalex.org/W2145967578","https://openalex.org/W2098185031","https://openalex.org/W2354218176","https://openalex.org/W1779455244","https://openalex.org/W2362664975"],"abstract_inverted_index":{"The":[0,45,127],"Particle":[1],"swarm":[2,20],"optimization":[3,43],"(PSO)":[4],"algorithm":[5,33,47,66,122,145,158,173,208],"is":[6,48,79,132,196],"a":[7,87,183],"population-based":[8],"intelligent":[9],"stochastic":[10],"search":[11],"technique":[12],"encouraged":[13],"from":[14],"the":[15,31,56,63,98,101,111,117,120,140,143,152,155,171,176,187,206],"intrinsic":[16],"manner":[17],"of":[18,42,92,100,119,129,142,154,186],"bee":[19],"seeking":[21],"for":[22,28,110,211],"their":[23],"food":[24],"source.":[25],"With":[26],"flexibility":[27],"numerical":[29],"experimentation,":[30],"PSO":[32,46,65,102,121,144,157,172,189,207],"has":[34,105],"been":[35],"mostly":[36],"used":[37],"to":[38,85,107,138,159,164,169,174,204],"resolve":[39],"diverse":[40],"kind":[41],"problems.":[44,59,179],"frequently":[49],"captured":[50],"in":[51,116,209],"local":[52],"optima":[53],"meanwhile":[54],"handling":[55],"complex":[57,177],"real-world":[58,178],"Many":[60],"authors":[61],"improved":[62],"standard":[64,156],"with":[67,146],"different":[68],"mutation":[69,77,125,147,193],"strategies":[70,78,148],"but":[71],"an":[72],"exhausted":[73],"comprehensive":[74,90,184],"overview":[75],"about":[76],"still":[80],"lacking.":[81],"This":[82,180],"article":[83],"aims":[84],"furnish":[86],"concise":[88],"and":[89,94,123,162,167],"study":[91,131,181,205],"problems":[93],"challenges":[95],"that":[96,149,198],"prevent":[97],"performance":[99,153],"algorithm.":[103],"It":[104,195],"tried":[106],"provide":[108],"guidelines":[109],"researchers":[112,166],"who":[113],"are":[114],"active":[115],"area":[118],"its":[124],"strategies.":[126,194],"objective":[128],"this":[130,199],"divided":[133],"into":[134],"two":[135],"sections:":[136],"primarily":[137],"display":[139],"improvement":[141],"may":[150],"enhance":[151],"great":[160],"extent":[161],"secondly,":[163],"motivate":[165],"developers":[168],"use":[170],"solve":[175],"presents":[182],"survey":[185,200],"various":[188],"algorithms":[190],"based":[191],"on":[192],"anticipated":[197],"would":[201],"be":[202],"helpful":[203],"detail":[210],"researchers.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}