{"id":"https://openalex.org/W2062015398","doi":"https://doi.org/10.1145/508791.508907","title":"Particle swarm optimization method in multiobjective problems","display_name":"Particle swarm optimization method in multiobjective problems","publication_year":2002,"publication_date":"2002-03-11","ids":{"openalex":"https://openalex.org/W2062015398","doi":"https://doi.org/10.1145/508791.508907","mag":"2062015398"},"language":"en","primary_location":{"id":"doi:10.1145/508791.508907","doi":"https://doi.org/10.1145/508791.508907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/508791.508907","pdf_url":null,"source":{"id":"https://openalex.org/S4306417581","display_name":"ACM Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 ACM symposium on Applied computing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5042020828","display_name":"Konstantinos E. Parsopoulos","orcid":"https://orcid.org/0000-0002-0599-4353","observed_orcids":["https://orcid.org/0000-0002-0599-4353"]},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"K. E. Parsopoulos","raw_affiliation_strings":["University of Patras, GR-26110 Patras, Greece","University of Patras, GR-26110 Patras, Greece#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras, GR-26110 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"University of Patras, GR-26110 Patras, Greece#TAB#","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044810424","display_name":"Michael N. Vrahatis","orcid":"https://orcid.org/0000-0001-8357-7435","observed_orcids":["https://orcid.org/0000-0001-8357-7435"]},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"M. N. Vrahatis","raw_affiliation_strings":["University of Patras, GR-26110 Patras, Greece","University of Patras, GR-26110 Patras, Greece#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras, GR-26110 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"University of Patras, GR-26110 Patras, Greece#TAB#","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":8.0287,"has_fulltext":false,"cited_by_count":683,"citation_normalized_percentile":{"value":0.98281457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"603","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9243000149726868,"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":0.9243000149726868,"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":0.07240000367164612,"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/T12709","display_name":"Optimization and Mathematical Programming","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":1.0},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/pareto-optimal-solutions","display_name":"Pareto optimal solutions","score":0.878000020980835},{"id":"https://openalex.org/keywords/pareto-front","display_name":"Pareto front","score":0.8600000143051147},{"id":"https://openalex.org/keywords/weighted-aggregation","display_name":"weighted aggregation","score":0.984000027179718},{"id":"https://openalex.org/keywords/adaptive-weighting","display_name":"adaptive weighting","score":0.8299999833106995},{"id":"https://openalex.org/keywords/vega","display_name":"Vega","score":0.734000027179718},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7319999933242798}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8862820863723755},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7454584836959839},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7162247896194458},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6563137173652649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536971926689148},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5275791883468628},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.49411705136299133},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.48880741000175476},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.45211800932884216},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4127740263938904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32699739933013916}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/508791.508907","doi":"https://doi.org/10.1145/508791.508907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/508791.508907","pdf_url":null,"source":{"id":"https://openalex.org/S4306417581","display_name":"ACM Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.16.4387","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.upatras.gr/~kostasp/acm.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.76.8514","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.8514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.upatras.gr/~kostasp/papers/acm.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W30994277","https://openalex.org/W33851185","https://openalex.org/W47574010","https://openalex.org/W155679744","https://openalex.org/W264036554","https://openalex.org/W1504943474","https://openalex.org/W1580876177","https://openalex.org/W2004834830","https://openalex.org/W2053289371","https://openalex.org/W2053900989","https://openalex.org/W2054281993","https://openalex.org/W2065154909","https://openalex.org/W2083032961","https://openalex.org/W2109364787","https://openalex.org/W2124290836","https://openalex.org/W2125899728","https://openalex.org/W2140066605","https://openalex.org/W2140208274","https://openalex.org/W2149938085","https://openalex.org/W2152195021","https://openalex.org/W2981264952","https://openalex.org/W4285719527","https://openalex.org/W6703967216"],"related_works":["https://openalex.org/W2413091152","https://openalex.org/W2336974681","https://openalex.org/W2384628051","https://openalex.org/W4385210414","https://openalex.org/W2135664309","https://openalex.org/W1560088219","https://openalex.org/W2064670552","https://openalex.org/W88301873","https://openalex.org/W2371450429","https://openalex.org/W2007506528"],"abstract_inverted_index":{"This":[0],"paper":[1],"constitutes":[2],"a":[3,78],"first":[4],"study":[5],"of":[6,20,31,58],"the":[7,29,32,59,71],"Particle":[8],"Swarm":[9],"Optimization":[10,15,64],"(PSO)":[11],"method":[12],"in":[13,74],"Multiobjective":[14,63],"(MO)":[16],"problems.":[17,87],"The":[18,44],"ability":[19],"PSO":[21,72,80],"to":[22,70,76],"detect":[23],"Pareto":[24,33],"Optimal":[25],"points":[26],"and":[27,91],"capture":[28],"shape":[30],"Front":[34],"is":[35,53],"studied":[36],"through":[37],"experiments":[38],"on":[39],"well--known":[40],"non--trivial":[41],"test":[42],"functions.":[43],"Weighted":[45],"Aggregation":[46],"technique":[47],"with":[48,85],"fixed":[49],"or":[50],"adaptive":[51],"weights":[52],"considered.":[54],"Furthermore,":[55],"critical":[56],"aspects":[57],"VEGA":[60],"approach":[61],"for":[62,93],"using":[65],"Genetic":[66],"Algorithms":[67],"are":[68,89,96],"adapted":[69],"framework":[73],"order":[75],"develop":[77],"multi--swarm":[79],"that":[81],"can":[82],"cope":[83],"effectively":[84],"MO":[86],"Conclusions":[88],"derived":[90],"ideas":[92],"further":[94],"research":[95],"proposed.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":40},{"year":2014,"cited_by_count":43},{"year":2013,"cited_by_count":35},{"year":2012,"cited_by_count":47}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}