{"id":"https://openalex.org/W2024203849","doi":"https://doi.org/10.1109/cec.2012.6256632","title":"A novel memetic algorithm based on the comprehensive learning PSO","display_name":"A novel memetic algorithm based on the comprehensive learning PSO","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2024203849","doi":"https://doi.org/10.1109/cec.2012.6256632","mag":"2024203849"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6256632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5101401225","display_name":"JiaCheng Ni","orcid":"https://orcid.org/0000-0002-5704-937X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiaCheng Ni","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University, Shanghai, China","School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361415","display_name":"Li Li","orcid":"https://orcid.org/0000-0003-4818-8770"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University, Shanghai, China","School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108404","display_name":"Fei Qiao","orcid":"https://orcid.org/0000-0002-1513-8753"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Qiao","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University, Shanghai, China","School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039421439","display_name":"Qidi Wu","orcid":"https://orcid.org/0000-0003-1922-7435"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"QiDi Wu","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University, Shanghai, China","School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983999729156494,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/memetic-algorithm","display_name":"Memetic algorithm","score":0.9146016836166382},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.7425967454910278},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.7223222255706787},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6525160670280457},{"id":"https://openalex.org/keywords/memetics","display_name":"Memetics","score":0.6214163899421692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165747046470642},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5340119004249573},{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.5194025039672852},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.48497509956359863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716065526008606},{"id":"https://openalex.org/keywords/iterated-local-search","display_name":"Iterated local search","score":0.45553019642829895},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.43657395243644714},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.4191630780696869},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29595690965652466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2208860218524933}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.9146016836166382},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.7425967454910278},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.7223222255706787},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6525160670280457},{"id":"https://openalex.org/C51620047","wikidata":"https://www.wikidata.org/wiki/Q23399","display_name":"Memetics","level":2,"score":0.6214163899421692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165747046470642},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5340119004249573},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.5194025039672852},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.48497509956359863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716065526008606},{"id":"https://openalex.org/C124145224","wikidata":"https://www.wikidata.org/wiki/Q6094397","display_name":"Iterated local search","level":3,"score":0.45553019642829895},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.43657395243644714},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4191630780696869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29595690965652466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2208860218524933},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2012.6256632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W63064086","https://openalex.org/W1984075590","https://openalex.org/W1994867044","https://openalex.org/W2024060531","https://openalex.org/W2112451851","https://openalex.org/W2119997113","https://openalex.org/W2131613989","https://openalex.org/W2135232426","https://openalex.org/W2135646341","https://openalex.org/W2139339670","https://openalex.org/W2148211213","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2157470389","https://openalex.org/W2162012556","https://openalex.org/W2165299997","https://openalex.org/W2169245194","https://openalex.org/W2170186790"],"related_works":["https://openalex.org/W57712993","https://openalex.org/W2056356393","https://openalex.org/W4386413867","https://openalex.org/W2789338867","https://openalex.org/W2123829500","https://openalex.org/W1990478250","https://openalex.org/W2305572622","https://openalex.org/W2495374936","https://openalex.org/W2535266198","https://openalex.org/W2885371939"],"abstract_inverted_index":{"A":[0],"memetic":[1,45],"algorithm":[2],"MCLPSO":[3,89],"based":[4,30],"on":[5],"the":[6,38,49,57,64,78,92],"comprehensive":[7,58],"learning":[8,59],"PSO":[9,40,101],"(CLPSO)":[10],"is":[11,23,34],"presented":[12],"in":[13,90],"this":[14],"study.":[15],"In":[16],"MCLPSO,":[17],"a":[18,26,85],"chaotic":[19],"local":[20,31,65,75],"search":[21,32,76],"operator":[22],"used":[24],"and":[25,67],"Simulated":[27],"Annealing":[28],"(SA)":[29],"strategy":[33,60],"developed":[35],"by":[36,56],"combining":[37],"cognition-only":[39],"model":[41],"with":[42,96],"SA.":[43],"The":[44,81],"scheme":[46],"can":[47],"enable":[48,68],"stagnant":[50],"particles":[51,71],"which":[52],"cannot":[53],"be":[54],"improved":[55],"to":[61,72],"escape":[62],"from":[63],"optima":[66],"some":[69,97],"elite":[70],"give":[73],"fine-grained":[74],"around":[77],"promising":[79],"regions.":[80],"experimental":[82],"result":[83],"demonstrates":[84],"good":[86],"performance":[87],"of":[88,100],"optimizing":[91],"multimodal":[93],"functions":[94],"compared":[95],"other":[98],"variants":[99],"including":[102],"CLPSO.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}