{"id":"https://openalex.org/W1825719191","doi":"https://doi.org/10.1109/cec.2004.1331061","title":"Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization","display_name":"Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization","publication_year":2005,"publication_date":"2005-01-17","ids":{"openalex":"https://openalex.org/W1825719191","doi":"https://doi.org/10.1109/cec.2004.1331061","mag":"1825719191"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2004.1331061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2004.1331061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","raw_type":"proceedings-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/A5064569017","display_name":"Sanaz Mostaghim","orcid":"https://orcid.org/0000-0002-9917-5227"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"S. Mostaghim","raw_affiliation_strings":["Electrical Engineering Department, University of Paderborn, Germany","[Dept. of Electr. Eng., Paderborn Univ., Germany]"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Paderborn Univ., Germany]","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076672029","display_name":"J\u00fcrgen Teich","orcid":"https://orcid.org/0000-0001-6285-5862"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Teich","raw_affiliation_strings":["Computer Science Department, Friedrich-Alexander-Universitat, Erlangen, Germany","University of Erlangen-Nuremberg"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Friedrich-Alexander-Universitat, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064569017"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":9.7622,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98694567,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1404","last_page":"1411"},"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":0.9848999977111816,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9757000207901001,"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":0.8187949657440186},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.7608098387718201},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7472524642944336},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6855805516242981},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6049321293830872},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.592071533203125},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5580059289932251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5334475636482239},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.492035835981369},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.4103858470916748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2880859375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12187528610229492}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8187949657440186},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7608098387718201},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7472524642944336},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6855805516242981},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6049321293830872},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.592071533203125},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5580059289932251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5334475636482239},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.492035835981369},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.4103858470916748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2880859375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12187528610229492},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/cec.2004.1331061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2004.1331061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.72.6344","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.6344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www12.informatik.uni-erlangen.de/publications/pub2004/CEC04-no-16.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W14226991","https://openalex.org/W107299040","https://openalex.org/W1485910948","https://openalex.org/W1504943474","https://openalex.org/W1534737284","https://openalex.org/W1585939719","https://openalex.org/W1595498733","https://openalex.org/W1755555095","https://openalex.org/W1918036644","https://openalex.org/W1924424984","https://openalex.org/W2086743688","https://openalex.org/W2109778277","https://openalex.org/W2123808725","https://openalex.org/W2140882991","https://openalex.org/W2147968712","https://openalex.org/W6604396580","https://openalex.org/W6631966725","https://openalex.org/W6635097213","https://openalex.org/W6639934517"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2070977815","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2972744589","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Covering":[0],"the":[1,35,51,63,72,83],"whole":[2],"set":[3],"of":[4,11,29,71],"Pareto-optimal":[5,52],"solutions":[6,30],"is":[7,19,65,87],"a":[8,26,42,68,75,101],"desired":[9],"task":[10],"multiobjective":[12,45],"optimization":[13,48],"methods.":[14],"Because":[15],"in":[16,34,57,105],"general":[17],"it":[18],"not":[20],"possible":[21],"to":[22,37,49,66,81],"determine":[23],"this":[24],"set,":[25],"restricted":[27],"amount":[28],"are":[31,79],"typically":[32],"delivered":[33],"output":[36],"decision":[38],"makers.":[39],"We":[40],"propose":[41],"method":[43,55,86,99],"using":[44,89,100],"particle":[46],"swarm":[47],"cover":[50,82],"front.":[53],"The":[54,85],"works":[56],"two":[58],"phases.":[59],"In":[60,74],"phase":[61],"1":[62],"goal":[64],"obtain":[67],"good":[69],"approximation":[70],"Pareto-front.":[73,84],"second":[76],"run":[77],"subswarms":[78],"generated":[80],"evaluated":[88],"different":[90],"test":[91],"functions":[92],"and":[93],"compared":[94],"with":[95],"an":[96],"existing":[97],"covering":[98],"real":[102],"world":[103],"example":[104],"antenna":[106],"design.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}