{"id":"https://openalex.org/W2095048090","doi":"https://doi.org/10.1109/nabic.2013.6617848","title":"Blend of local and global variant of PSO in ABC","display_name":"Blend of local and global variant of PSO in ABC","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2095048090","doi":"https://doi.org/10.1109/nabic.2013.6617848","mag":"2095048090"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2013.6617848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2013.6617848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 World Congress on Nature and Biologically Inspired Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033713471","display_name":"Tarun Kumar Sharma","orcid":"https://orcid.org/0000-0002-9043-8641"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tarun Kumar Sharma","raw_affiliation_strings":["School of Mathematics and Computer Applications, Thapar University, Patiala, India","Sch. of Math. & Comput. Applic., Thapar Univ., Patiala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Applications, Thapar University, Patiala, India","institution_ids":["https://openalex.org/I162030827"]},{"raw_affiliation_string":"Sch. of Math. & Comput. Applic., Thapar Univ., Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081953081","display_name":"Millie Pant","orcid":"https://orcid.org/0000-0002-7668-7887"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Millie Pant","raw_affiliation_strings":["Department of Applied Sciences & Engineering, Indian Institute of Technology, Roorkee, India","Department of Applied Science and Engineering, Indian Institute of Technology - Roorkee, Roorkee, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Sciences & Engineering, Indian Institute of Technology, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Applied Science and Engineering, Indian Institute of Technology - Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738"},"institutions":[{"id":"https://openalex.org/I4210107658","display_name":"Machine Intelligence Research Labs","ror":"https://ror.org/013kgb629","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210107658"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["Machine Intelligence Research Labs (MIR Labs), WA, USA","Machine Intell. Res. Labs. (MIR Labs.), Auburn, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Labs (MIR Labs), WA, USA","institution_ids":["https://openalex.org/I4210107658"]},{"raw_affiliation_string":"Machine Intell. Res. Labs. (MIR Labs.), Auburn, WA, USA","institution_ids":["https://openalex.org/I4210107658"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4576,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61798049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"113","last_page":"119"},"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":0.9968000054359436,"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":0.9884999990463257,"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/metaheuristic","display_name":"Metaheuristic","score":0.8707082271575928},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7243359088897705},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.6933790445327759},{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.6862686276435852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5806939005851746},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5735923051834106},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.534859299659729},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5001876354217529},{"id":"https://openalex.org/keywords/foraging","display_name":"Foraging","score":0.4894038736820221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517365097999573},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.41923436522483826},{"id":"https://openalex.org/keywords/parallel-metaheuristic","display_name":"Parallel metaheuristic","score":0.4110236167907715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19782313704490662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18268880248069763},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.12206214666366577},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10749736428260803},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.06771144270896912}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.8707082271575928},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7243359088897705},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.6933790445327759},{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.6862686276435852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806939005851746},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5735923051834106},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.534859299659729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5001876354217529},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.4894038736820221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517365097999573},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.41923436522483826},{"id":"https://openalex.org/C28767586","wikidata":"https://www.wikidata.org/wiki/Q7135006","display_name":"Parallel metaheuristic","level":4,"score":0.4110236167907715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19782313704490662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18268880248069763},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.12206214666366577},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10749736428260803},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06771144270896912},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/nabic.2013.6617848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2013.6617848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 World Congress on Nature and Biologically Inspired Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.455.6573","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.6573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wsc10.softcomputing.net/paper30.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W204830098","https://openalex.org/W339033633","https://openalex.org/W1587078255","https://openalex.org/W1595159159","https://openalex.org/W1604645545","https://openalex.org/W1981009968","https://openalex.org/W2019553832","https://openalex.org/W2047626401","https://openalex.org/W2057836008","https://openalex.org/W2097554270","https://openalex.org/W2109364787","https://openalex.org/W2134816084","https://openalex.org/W2144317842","https://openalex.org/W2145479420","https://openalex.org/W2147450326","https://openalex.org/W2151339633","https://openalex.org/W2152150600","https://openalex.org/W2152195021","https://openalex.org/W2154929945","https://openalex.org/W2168556168","https://openalex.org/W2170230439","https://openalex.org/W2219463903","https://openalex.org/W2287814884","https://openalex.org/W2377641287","https://openalex.org/W2624281123","https://openalex.org/W2904250082","https://openalex.org/W2955541341","https://openalex.org/W3023308187","https://openalex.org/W3023540311","https://openalex.org/W4285719527","https://openalex.org/W6608435980","https://openalex.org/W6611734351","https://openalex.org/W6636041183","https://openalex.org/W6689029276","https://openalex.org/W6696126189","https://openalex.org/W6709297347"],"related_works":["https://openalex.org/W2051623074","https://openalex.org/W2808804076","https://openalex.org/W1977042441","https://openalex.org/W2362117675","https://openalex.org/W2930891413","https://openalex.org/W2614708361","https://openalex.org/W2093786661","https://openalex.org/W1945506659","https://openalex.org/W2132931721","https://openalex.org/W2465206257"],"abstract_inverted_index":{"Artificial":[0,31,59],"bee":[1],"colony":[2],"is":[3,11,38,63,91],"a":[4,12,53,94],"recently":[5],"proposed":[6,64,89],"metaheuristic":[7],"optimization":[8],"technique":[9],"and":[10,47,69,78,103],"new":[13],"member":[14],"of":[15,25,30,81,96],"swarm":[16],"intelligence":[17],"based":[18],"algorithms.":[19],"It":[20],"mimics":[21],"the":[22,42,67,76,111],"foraging":[23],"behavior":[24],"honey":[26],"bees.":[27],"The":[28,73,88],"performance":[29],"Bee":[32,60],"Colony":[33,61],"(ABC),":[34],"like":[35],"other":[36],"metaheuristics,":[37],"heavily":[39],"dependent":[40],"on":[41,93],"tradeoff":[43],"between":[44],"their":[45],"exploration":[46,68],"exploitation":[48,70],"aptitude.":[49],"In":[50],"this":[51],"paper":[52],"variant":[54,58,80,90,112],"called":[55],"Local":[56],"Global":[57],"(LGABC)":[62],"to":[65],"balance":[66],"in":[71],"ABC.":[72,87],"proposal":[74],"harnesses":[75],"local":[77],"global":[79],"Particle":[82],"Swarm":[83],"Optimization":[84],"(PSO)":[85],"into":[86],"investigated":[92],"set":[95],"thirteen":[97],"well":[98],"known":[99],"constrained":[100],"benchmarks":[101],"problems":[102],"three":[104],"chemical":[105],"engineering":[106],"problems,":[107],"which":[108],"show":[109],"that":[110],"can":[113],"get":[114],"high-quality":[115],"solutions":[116],"efficiently.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}