{"id":"https://openalex.org/W2390914397","doi":null,"title":"A Multi-Population Synergy Quantum Genetic Algorithm for Multimodal Optimization","display_name":"A Multi-Population Synergy Quantum Genetic Algorithm for Multimodal Optimization","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2390914397","mag":"2390914397"},"language":"en","primary_location":{"id":"mag:2390914397","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-WXYJ201311014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764700129","display_name":"Microelectronics & Computer","issn_l":"1000-7180","issn":["1000-7180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4322697011","host_organization_name":"IEEE","host_organization_lineage":["https://openalex.org/P4322697011"],"host_organization_lineage_names":["IEEE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Microelectronics & Computer","raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5026312433","display_name":"Geng Huan-ton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Geng Huan-ton","raw_affiliation_strings":["Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026312433"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25803037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":9.999999747378752e-05,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.0,"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/quantum-inspired-genetic-algorithm","display_name":"quantum genetic algorithm","score":0.9959999918937683},{"id":"https://openalex.org/keywords/multimodal-optimization","display_name":"multimodal optimization","score":0.9520000219345093},{"id":"https://openalex.org/keywords/multi-population-algorithm","display_name":"multi-population algorithm","score":0.8700000047683716},{"id":"https://openalex.org/keywords/population-diversity","display_name":"population diversity","score":0.9380000233650208},{"id":"https://openalex.org/keywords/global-optimum-search","display_name":"global optimum search","score":0.5170000195503235},{"id":"https://openalex.org/keywords/local-optima-avoidance","display_name":"local optima avoidance","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719764232635498},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5715484619140625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5551608800888062},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5507345199584961},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5393940806388855},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5276347994804382},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.523127019405365},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5207191109657288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5027098655700684},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4800502061843872},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.42954832315444946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2015824019908905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1880679726600647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1025858223438263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2390914397","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-WXYJ201311014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764700129","display_name":"Microelectronics & Computer","issn_l":"1000-7180","issn":["1000-7180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4322697011","host_organization_name":"IEEE","host_organization_lineage":["https://openalex.org/P4322697011"],"host_organization_lineage_names":["IEEE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Microelectronics & Computer","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2125402944","https://openalex.org/W2186501462","https://openalex.org/W4319779329","https://openalex.org/W2374868025","https://openalex.org/W192541030","https://openalex.org/W2359163592","https://openalex.org/W2376526003","https://openalex.org/W4288080564","https://openalex.org/W1559311912","https://openalex.org/W2370971366"],"abstract_inverted_index":{"The":[0],"quantum":[1,47,82,115],"genetic":[2,48,116],"algorithm":[3,10,117],"is":[4,63,85],"a":[5,44],"kind":[6],"of":[7,20,76,91,109],"probability":[8],"evolution":[9],"but":[11],"when":[12],"it":[13],"solves":[14],"multimodal":[15,96],"optimization":[16,39,97],"problems,the":[17],"update":[18,73],"strategy":[19,84],"rotation":[21],"gate":[22],"will":[23],"easy":[24],"lead":[25],"to":[26,51,87,100],"local":[27,110],"optimal":[28,111],"solution":[29,112],"and":[30,55,71,93,118],"also":[31],"can't":[32],"find":[33,56,119],"all":[34,57,120],"best":[35,59],"solutions":[36,123],"in":[37,41],"some":[38,75],"problem.Therefore":[40],"this":[42],"paper":[43],"multi-population":[45],"synergy":[46],"algorithm(MPSGQA)":[49],"proposed":[50],"solve":[52],"these":[53],"problems":[54],"the":[58,72,77,89],"solutions.The":[60],"main":[61],"idea":[62],"dividing":[64],"m":[65],"sub-populations":[66,78],"by":[67],"using":[68],"clustering":[69],"analysis":[70],"them.If":[74],"have":[79],"large":[80],"similarity,the":[81],"mutation":[83],"adopted":[86],"maintain":[88],"diversity":[90],"population.Experiment":[92],"comparison":[94],"with":[95],"function":[98],"F_1":[99],"F_4,the":[101],"result":[102],"shows":[103],"that":[104],"MPSGQA":[105],"can":[106],"jump":[107],"out":[108],"better":[113],"than":[114],"global":[121],"optimum":[122],"efficiently.":[124]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2016-06-24T00:00:00"}