{"id":"https://openalex.org/W2150197722","doi":"https://doi.org/10.1109/cec.2005.1554776","title":"Performance of Aggregation Pheromone System on Unimodal and Multimodal Problems","display_name":"Performance of Aggregation Pheromone System on Unimodal and Multimodal Problems","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W2150197722","doi":"https://doi.org/10.1109/cec.2005.1554776","mag":"2150197722"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5111368462","display_name":"S. Tsutsui","orcid":null},"institutions":[{"id":"https://openalex.org/I201663027","display_name":"Hannan University","ror":"https://ror.org/04jb7yj10","country_code":"JP","type":"education","lineage":["https://openalex.org/I201663027"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Tsutsui","raw_affiliation_strings":["Department of Management Information Sciences, Hannam University, Matsubara, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Information Sciences, Hannam University, Matsubara, Osaka, Japan","institution_ids":["https://openalex.org/I201663027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031363335","display_name":"Martin Pelik\u00e1n","orcid":"https://orcid.org/0009-0003-4101-5575"},"institutions":[{"id":"https://openalex.org/I201663027","display_name":"Hannan University","ror":"https://ror.org/04jb7yj10","country_code":"JP","type":"education","lineage":["https://openalex.org/I201663027"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Pelikan","raw_affiliation_strings":["Department of Management Information Sciences, Hannam University, Matsubara, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Information Sciences, Hannam University, Matsubara, Osaka, Japan","institution_ids":["https://openalex.org/I201663027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025656702","display_name":"Ashish Ghosh","orcid":"https://orcid.org/0000-0003-1548-5576"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Ghosh","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4787,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8379976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"880","last_page":"887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9902999997138977,"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":0.9696000218391418,"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/computer-science","display_name":"Computer science","score":0.6793956160545349},{"id":"https://openalex.org/keywords/pheromone","display_name":"Pheromone","score":0.6546164155006409},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.557409405708313},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5291296243667603},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.49231231212615967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47381842136383057},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.43853065371513367},{"id":"https://openalex.org/keywords/collective-behavior","display_name":"Collective behavior","score":0.41833579540252686},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33218878507614136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19030532240867615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17732134461402893},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14469289779663086},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.12289389967918396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793956160545349},{"id":"https://openalex.org/C2777328355","wikidata":"https://www.wikidata.org/wiki/Q167377","display_name":"Pheromone","level":2,"score":0.6546164155006409},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.557409405708313},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5291296243667603},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.49231231212615967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47381842136383057},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.43853065371513367},{"id":"https://openalex.org/C100339178","wikidata":"https://www.wikidata.org/wiki/Q2548752","display_name":"Collective behavior","level":2,"score":0.41833579540252686},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33218878507614136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19030532240867615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17732134461402893},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14469289779663086},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.12289389967918396},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2005.1554776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.581.1095","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.581.1095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.hannan-u.ac.jp/~tsutsui/ps/cec2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W9147904","https://openalex.org/W46478508","https://openalex.org/W175080384","https://openalex.org/W175639538","https://openalex.org/W617691326","https://openalex.org/W816273107","https://openalex.org/W1514048016","https://openalex.org/W1514875444","https://openalex.org/W1540706608","https://openalex.org/W1557288165","https://openalex.org/W1574656525","https://openalex.org/W1595870065","https://openalex.org/W1844534094","https://openalex.org/W1852107442","https://openalex.org/W1991424798","https://openalex.org/W2009151996","https://openalex.org/W2018624857","https://openalex.org/W2025704344","https://openalex.org/W2043181951","https://openalex.org/W2063963525","https://openalex.org/W2089670420","https://openalex.org/W2101677491","https://openalex.org/W2107941094","https://openalex.org/W2125462585","https://openalex.org/W2146987494","https://openalex.org/W2154929945","https://openalex.org/W2167159964","https://openalex.org/W2184405720","https://openalex.org/W2414365832","https://openalex.org/W2577770140","https://openalex.org/W3154803405","https://openalex.org/W4256451422","https://openalex.org/W4388215348","https://openalex.org/W6607138227","https://openalex.org/W6633364091","https://openalex.org/W6638874250","https://openalex.org/W6686397094","https://openalex.org/W6731938624"],"related_works":["https://openalex.org/W2347951034","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2381829748","https://openalex.org/W2071981049","https://openalex.org/W2244460820","https://openalex.org/W2109336245","https://openalex.org/W2511325427","https://openalex.org/W2392795382","https://openalex.org/W2379177376"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"and":[3,43,58,61,95],"analyzes":[4],"the":[5,22,39,44,83,97],"aggregation":[6,30],"pheromone":[7],"system":[8],"(APS)":[9],"algorithm,":[10],"which":[11],"extends":[12],"ant":[13],"colony":[14],"optimization":[15],"(AGO)":[16],"to":[17,106],"continuous":[18],"domains.":[19],"APS":[20,36,42,51,86,100],"uses":[21],"collective":[23],"behavior":[24],"of":[25,31,35,50,85,99],"individuals":[26],"that":[27,76,96],"communicate":[28],"using":[29,77],"pheromones.":[32],"Two":[33],"variants":[34,49],"are":[37,52],"considered:":[38],"existing":[40],"generational":[41],"proposed":[45],"steady-state":[46,79],"APS.":[47],"Both":[48],"tested":[53],"on":[54,64,87],"several":[55],"common":[56],"unimodal":[57,89],"multimodal":[59,93],"problems":[60,66,94],"their":[62],"performance":[63,84,98],"these":[65],"is":[67,101],"analyzed":[68],"with":[69,104],"different":[70],"parameter":[71,108],"settings.":[72,109],"The":[73],"results":[74],"indicate":[75],"a":[78],"evolutionary":[80],"model":[81],"improves":[82],"both":[88],"as":[90,92],"well":[91],"relatively":[102],"robust":[103],"respect":[105],"its":[107]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
