{"id":"https://openalex.org/W1918036644","doi":"https://doi.org/10.1109/sis.2003.1202267","title":"Particle swarm with extended memory for multiobjective optimization","display_name":"Particle swarm with extended memory for multiobjective optimization","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1918036644","doi":"https://doi.org/10.1109/sis.2003.1202267","mag":"1918036644"},"language":"en","primary_location":{"id":"doi:10.1109/sis.2003.1202267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2003.1202267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706)","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/A5100740229","display_name":"Xiaohui Hu","orcid":"https://orcid.org/0000-0002-6960-2988"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohui Hu","raw_affiliation_strings":["Department of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109974163","display_name":"R.C. Eberhart","orcid":null},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.C. Eberhart","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000919145","display_name":"Yuhui Shi","orcid":"https://orcid.org/0000-0002-8840-723X"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhui Shi","raw_affiliation_strings":["EDS Embedded Systems Group, Kokomo, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDS Embedded Systems Group, Kokomo, IN, USA","institution_ids":["https://openalex.org/I4210145666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":240,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9977999925613403,"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":0.7461426258087158},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7414168119430542},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.7168446779251099},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6785751581192017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6741107702255249},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6435174942016602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634778618812561},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5804347395896912},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5387810468673706},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5139448046684265},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4299584925174713},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42801111936569214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20733582973480225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20512571930885315}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7461426258087158},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7414168119430542},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.7168446779251099},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6785751581192017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6741107702255249},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6435174942016602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634778618812561},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5804347395896912},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5387810468673706},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5139448046684265},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4299584925174713},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42801111936569214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20733582973480225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20512571930885315},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sis.2003.1202267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2003.1202267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.14.1449","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.1449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.ics.purdue.edu/~hux/cgi-bin/download.cgi?SIS2003Multiobjective.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W107299040","https://openalex.org/W1690614984","https://openalex.org/W1966253115","https://openalex.org/W1987443278","https://openalex.org/W2062015398","https://openalex.org/W2109364787","https://openalex.org/W2121365620","https://openalex.org/W2123808725","https://openalex.org/W2125899728","https://openalex.org/W2145113795","https://openalex.org/W2152195021","https://openalex.org/W2157601049","https://openalex.org/W2165299997","https://openalex.org/W4231132678","https://openalex.org/W6604396580","https://openalex.org/W6637436800","https://openalex.org/W6683477168"],"related_works":["https://openalex.org/W2161494499","https://openalex.org/W2911636622","https://openalex.org/W2778515884","https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W2001591765"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21],"modified":[4,18,63],"dynamic":[5,22],"neighborhood":[6,23],"particle":[7,26],"swarm":[8],"optimization":[9,14,31,76],"(DNPSO)":[10],"algorithm":[11],"for":[12],"multiobjective":[13,75],"problems.":[15],"PSO":[16],"is":[17,40,65],"by":[19],"using":[20],"strategy,":[24],"new":[25],"memory":[27,39],"updating,":[28],"and":[29,57,73],"one-dimension":[30],"to":[32,42,48],"deal":[33],"with":[34],"multiple":[35],"objectives.":[36],"An":[37],"extended":[38],"introduced":[41],"store":[43],"global":[44],"Pareto":[45],"optimal":[46],"solutions":[47],"reduce":[49],"computation":[50],"time.":[51],"Several":[52],"benchmark":[53],"cases":[54],"were":[55],"tested":[56],"the":[58,62,70],"results":[59],"show":[60],"that":[61],"DNPSO":[64,72],"much":[66],"more":[67],"efficient":[68],"than":[69],"original":[71],"other":[74],"techniques.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":16}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}