{"id":"https://openalex.org/W3005054504","doi":"https://doi.org/10.1109/access.2020.2971060","title":"A Hybrid Genetic Algorithm Based on Information Entropy and Game Theory","display_name":"A Hybrid Genetic Algorithm Based on Information Entropy and Game Theory","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3005054504","doi":"https://doi.org/10.1109/access.2020.2971060","mag":"3005054504"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2971060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978812.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978812.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100403784","display_name":"Jiacheng Li","orcid":"https://orcid.org/0000-0002-9595-4346"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li Jiacheng","raw_affiliation_strings":["Faculty of Science and Engineering, Hosei University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9595-4346","affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065422134","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-1857-8233"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li Lei","raw_affiliation_strings":["Faculty of Science and Engineering, Hosei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.248,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.96154544,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"36602","last_page":"36611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.994700014591217,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.6978106498718262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380592584609985},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5780311822891235},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5682691335678101},{"id":"https://openalex.org/keywords/cultural-algorithm","display_name":"Cultural algorithm","score":0.5480809211730957},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5455292463302612},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5381255149841309},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.518358051776886},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.43304958939552307},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4203493297100067},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.41120830178260803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28357672691345215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18498435616493225},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.08076557517051697}],"concepts":[{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.6978106498718262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380592584609985},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5780311822891235},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5682691335678101},{"id":"https://openalex.org/C5536111","wikidata":"https://www.wikidata.org/wiki/Q5193250","display_name":"Cultural algorithm","level":4,"score":0.5480809211730957},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5455292463302612},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5381255149841309},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.518358051776886},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.43304958939552307},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4203493297100067},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.41120830178260803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28357672691345215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18498435616493225},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.08076557517051697},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2971060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978812.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a81bf76806ed49adb9290bad5d511776","is_oa":true,"landing_page_url":"https://doaj.org/article/a81bf76806ed49adb9290bad5d511776","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 36602-36611 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2971060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971060","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08978812.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005054504.pdf","grobid_xml":"https://content.openalex.org/works/W3005054504.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1531764234","https://openalex.org/W2073320561","https://openalex.org/W2091265430","https://openalex.org/W2131908498","https://openalex.org/W2159126606","https://openalex.org/W2331890423","https://openalex.org/W2384430249","https://openalex.org/W2993383518","https://openalex.org/W3023540311","https://openalex.org/W6648982606"],"related_works":["https://openalex.org/W2126796113","https://openalex.org/W165035591","https://openalex.org/W2077550316","https://openalex.org/W2998167408","https://openalex.org/W2995640471","https://openalex.org/W4360996914","https://openalex.org/W1647809681","https://openalex.org/W2059608844","https://openalex.org/W2369480021","https://openalex.org/W4387527001"],"abstract_inverted_index":{"To":[0],"overcome":[1],"the":[2,32,36,43,53,90,95,99,103,110,120,134],"disadvantages":[3],"of":[4,31,35,97,105,122],"traditional":[5,131],"genetic":[6,19,49,55,59,65,132],"algorithms,":[7,50,133],"which":[8],"easily":[9],"fall":[10],"to":[11,42,85,118],"local":[12],"optima,":[13],"this":[14],"paper":[15],"proposes":[16],"a":[17,29,148],"hybrid":[18,64],"algorithm":[20,56,60,66,136],"based":[21,67,93],"on":[22,68,94],"information":[23,44,100],"entropy":[24,45,101],"and":[25,62,71,102,113,145,147],"game":[26,81],"theory.":[27],"First,":[28],"calculation":[30],"species":[33],"diversity":[34],"initial":[37],"population":[38,92],"is":[39],"conducted":[40],"according":[41],"by":[46],"combining":[47],"parallel":[48,78],"including":[51],"using":[52],"standard":[54],"(SGA),":[57],"partial":[58],"(PGA)":[61],"syncretic":[63],"both":[69,98],"SGA":[70],"PGA":[72],"for":[73,89],"evolutionary":[74],"operations.":[75],"Furthermore,":[76],"with":[77,130,139],"nodes,":[79],"complete-information":[80],"operations":[82],"are":[83,116],"implemented":[84],"achieve":[86],"an":[87],"optimum":[88],"entire":[91],"values":[96],"fitness":[104],"each":[106],"subgroup":[107],"population.":[108],"Additionally,":[109],"Rosenbrock,":[111],"Rastrigin":[112],"Schaffer":[114],"functions":[115],"introduced":[117],"analyse":[119],"performance":[121],"different":[123],"algorithms.":[124],"The":[125],"results":[126],"show":[127],"that":[128],"compared":[129],"proposed":[135],"performs":[137],"better,":[138],"higher":[140],"optimization":[141],"ability,":[142],"solution":[143],"accuracy,":[144],"stability":[146],"superior":[149],"convergence":[150],"rate.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
