{"id":"https://openalex.org/W2602484474","doi":"https://doi.org/10.1587/transinf.2016edp7512","title":"Multiple Chaos Embedded Gravitational Search Algorithm","display_name":"Multiple Chaos Embedded Gravitational Search Algorithm","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2602484474","doi":"https://doi.org/10.1587/transinf.2016edp7512","mag":"2602484474"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2016edp7512","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7512","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016EDP7512/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016EDP7512/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087985997","display_name":"Zhenyu Song","orcid":"https://orcid.org/0000-0002-6163-0503"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhenyu SONG","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce GAO","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065219991","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-4724-9933"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang YU","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429003","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0002-2782-3926"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]},{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Jian SUN","raw_affiliation_strings":["College of Computer Science and Technology, Taizhou University","Faculty of Engineering, University of Toyama"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taizhou University","institution_ids":["https://openalex.org/I82760581"]},{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042276100","display_name":"Yuki Todo","orcid":"https://orcid.org/0000-0001-7379-1374"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki TODO","raw_affiliation_strings":["School of Electrical and Computer Engineering, Kanazawa University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Kanazawa University","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087985997"],"corresponding_institution_ids":["https://openalex.org/I42766147"],"apc_list":null,"apc_paid":null,"fwci":4.3653,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95389671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"E100.D","issue":"4","first_page":"888","last_page":"900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9988999962806702,"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":0.9988999962806702,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9890999794006348,"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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/chaotic","display_name":"Chaotic","score":0.7685232162475586},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7276520133018494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249758243560791},{"id":"https://openalex.org/keywords/ergodicity","display_name":"Ergodicity","score":0.7145256996154785},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6748181581497192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6004956364631653},{"id":"https://openalex.org/keywords/chaos","display_name":"CHAOS (operating system)","score":0.5052729249000549},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.44706255197525024},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4420643746852875},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.43832823634147644},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4243623614311218},{"id":"https://openalex.org/keywords/chaos-theory","display_name":"Chaos theory","score":0.42127978801727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24092283844947815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2265220284461975}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7685232162475586},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7276520133018494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249758243560791},{"id":"https://openalex.org/C201779956","wikidata":"https://www.wikidata.org/wiki/Q5426803","display_name":"Ergodicity","level":2,"score":0.7145256996154785},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6748181581497192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6004956364631653},{"id":"https://openalex.org/C2779374083","wikidata":"https://www.wikidata.org/wiki/Q5011038","display_name":"CHAOS (operating system)","level":2,"score":0.5052729249000549},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.44706255197525024},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4420643746852875},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43832823634147644},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4243623614311218},{"id":"https://openalex.org/C92866567","wikidata":"https://www.wikidata.org/wiki/Q166314","display_name":"Chaos theory","level":3,"score":0.42127978801727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24092283844947815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2265220284461975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2016edp7512","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7512","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016EDP7512/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2016edp7512","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7512","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016EDP7512/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7513472892","display_name":null,"funder_award_id":"15K00332","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2602484474.pdf","grobid_xml":"https://content.openalex.org/works/W2602484474.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1193242870","https://openalex.org/W1586044148","https://openalex.org/W1777985119","https://openalex.org/W1967842056","https://openalex.org/W1969638194","https://openalex.org/W1974790036","https://openalex.org/W1983782164","https://openalex.org/W1997600725","https://openalex.org/W2001946563","https://openalex.org/W2003961265","https://openalex.org/W2004617458","https://openalex.org/W2005424446","https://openalex.org/W2013850631","https://openalex.org/W2017891670","https://openalex.org/W2019826979","https://openalex.org/W2028437524","https://openalex.org/W2029254187","https://openalex.org/W2030193831","https://openalex.org/W2039568841","https://openalex.org/W2040191959","https://openalex.org/W2043117900","https://openalex.org/W2048401819","https://openalex.org/W2050501867","https://openalex.org/W2054602817","https://openalex.org/W2072955302","https://openalex.org/W2086622126","https://openalex.org/W2108826574","https://openalex.org/W2118044993","https://openalex.org/W2119172729","https://openalex.org/W2131302168","https://openalex.org/W2132181343","https://openalex.org/W2137340504","https://openalex.org/W2146713522","https://openalex.org/W2151554678","https://openalex.org/W2152468625","https://openalex.org/W2165466912","https://openalex.org/W2169272511","https://openalex.org/W2339005802"],"related_works":["https://openalex.org/W2350515275","https://openalex.org/W2385251151","https://openalex.org/W2385255403","https://openalex.org/W1996902633","https://openalex.org/W641155931","https://openalex.org/W4380763934","https://openalex.org/W3156857170","https://openalex.org/W610186612","https://openalex.org/W157482499","https://openalex.org/W2091409023"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,32,57,61,125,130],"novel":[4],"multiple":[5,15,89],"chaos":[6],"embedded":[7,26],"gravitational":[8,42],"search":[9,29,43,63],"algorithm":[10,44],"(MCGSA)":[11],"that":[12,140,164],"simultaneously":[13],"utilizes":[14],"different":[16],"chaotic":[17,27,90,120,127],"maps":[18,91],"with":[19,114],"manner":[21],"of":[22,68,71,79,85,107,119,132,149,177],"local":[23,28,50],"search.":[24],"The":[25,88],"can":[30],"exploit":[31],"small":[33],"region":[34],"to":[35,47,59],"refine":[36],"solutions":[37],"obtained":[38],"by":[39,65],"the":[40,69,76,103,108,165,170,175],"canonical":[41],"(GSA)":[45],"due":[46],"its":[48,145],"inherent":[49],"exploitation":[51],"ability.":[52],"Meanwhile":[53],"it":[54,113],"also":[55],"has":[56],"chance":[58],"explore":[60],"huge":[62],"space":[64],"taking":[66],"advantages":[67],"ergodicity":[70],"chaos.":[72],"To":[73,101],"fully":[74],"utilize":[75],"dynamic":[77],"properties":[78],"chaos,":[80],"we":[81,111],"propose":[82],"three":[83],"kinds":[84],"embedding":[86,167],"strategies.":[87],"are":[92],"randomly,":[93],"parallelly,":[94],"or":[95],"memory-selectively":[96],"incorporated":[97],"into":[98],"GSA,":[99],"respectively.":[100],"evaluate":[102],"effectiveness":[104],"and":[105,116,152],"efficiency":[106],"proposed":[109],"MCGSA,":[110],"compare":[112],"GSA":[115,121],"twelve":[117],"variants":[118],"which":[122],"use":[123],"only":[124],"certain":[126],"map":[128],"on":[129,160],"set":[131],"48":[133],"benchmark":[134],"optimization":[135],"functions.":[136],"Experimental":[137],"results":[138],"show":[139],"MCGSA":[141],"performs":[142],"better":[143],"than":[144],"competitors":[146],"in":[147],"terms":[148],"convergence":[150],"speed":[151],"solution":[153],"accuracy.":[154],"In":[155],"addition,":[156],"statistical":[157],"analysis":[158],"based":[159],"Friedman":[161],"test":[162],"indicates":[163],"parallelly":[166],"strategy":[168],"is":[169],"most":[171],"effective":[172],"for":[173],"improving":[174],"performance":[176],"GSA.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
