{"id":"https://openalex.org/W2995640471","doi":"https://doi.org/10.1109/snams.2019.8931847","title":"An Improvement Proposal of Genetic Algorithms Based on Information Entropy and Game Theory","display_name":"An Improvement Proposal of Genetic Algorithms Based on Information Entropy and Game Theory","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995640471","doi":"https://doi.org/10.1109/snams.2019.8931847","mag":"2995640471"},"language":"en","primary_location":{"id":"doi:10.1109/snams.2019.8931847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2019.8931847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)","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/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":"Jiacheng Li","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"]}]},{"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":"Lei Li","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":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.43765544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":null,"first_page":"36","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9811000227928162,"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":0.9811000227928162,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9495000243186951,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9470999836921692,"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":0.7864243984222412},{"id":"https://openalex.org/keywords/cultural-algorithm","display_name":"Cultural algorithm","score":0.6966857314109802},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6570045948028564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6016877293586731},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5966429114341736},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5889754891395569},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5822542309761047},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5230501890182495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5189523696899414},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4188283085823059},{"id":"https://openalex.org/keywords/genetic-representation","display_name":"Genetic representation","score":0.41291549801826477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32282572984695435},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.07096198201179504}],"concepts":[{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.7864243984222412},{"id":"https://openalex.org/C5536111","wikidata":"https://www.wikidata.org/wiki/Q5193250","display_name":"Cultural algorithm","level":4,"score":0.6966857314109802},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6570045948028564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6016877293586731},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5966429114341736},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5889754891395569},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5822542309761047},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5230501890182495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5189523696899414},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4188283085823059},{"id":"https://openalex.org/C6135463","wikidata":"https://www.wikidata.org/wiki/Q5532920","display_name":"Genetic representation","level":3,"score":0.41291549801826477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32282572984695435},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.07096198201179504},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snams.2019.8931847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2019.8931847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2073320561","https://openalex.org/W2091265430","https://openalex.org/W2131908498","https://openalex.org/W2144846366","https://openalex.org/W2159126606","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2998167408","https://openalex.org/W2369480021","https://openalex.org/W2353368228","https://openalex.org/W2379073824","https://openalex.org/W2348064796","https://openalex.org/W1999084560","https://openalex.org/W2354309204","https://openalex.org/W2367488864","https://openalex.org/W3182481902","https://openalex.org/W2602249954"],"abstract_inverted_index":{"In":[0],"this":[1,140],"paper,":[2],"a":[3],"hybrid":[4,70],"genetic":[5,25,55,63,71,75,138],"algorithm":[6,26,64,67,72,76,79,141],"based":[7],"on":[8],"information":[9,48,87,96],"entropy":[10,97],"and":[11,69,77,98,119,147,150,157],"game":[12,84],"theory":[13],"was":[14,37,45],"proposed":[15],"in":[16,51,93],"order":[17],"to":[18,88,105,121],"cope":[19],"with":[20,53,95,135],"the":[21,40,107,130,136],"defect":[22],"that":[23,42],"traditional":[24,137],"easily":[27],"falls":[28],"into":[29],"local":[30],"optimum.":[31],"First":[32],"of":[33,85,101,125,143],"all,":[34],"initial":[35],"population":[36,43,89],"generated":[38],"through":[39],"way":[41],"diversity":[44],"calculated":[46],"by":[47,60,153],"entropy.":[49],"It,":[50],"combination":[52],"parallel":[54,91],"algorithm,":[56,139],"performed":[57],"evolutionary":[58],"operation":[59],"adopting":[61],"standard":[62,74],"(GA),":[65],"partheno-genetic":[66,78],"(PGA),":[68],"integrating":[73],"(GA-PGA).":[80],"Secondly,":[81],"it":[82],"operated":[83],"complete":[86],"at":[90],"nodes":[92],"accordance":[94],"fitness":[99],"value":[100],"each":[102],"sub-population,":[103],"hoping":[104],"optimize":[106],"whole":[108],"population.":[109],"Finally,":[110],"two":[111],"program":[112],"verification":[113],"functions":[114],"were":[115],"introduced,":[116],"i.e.":[117],"Rosenbrock":[118],"Rastrigin,":[120],"analyze":[122],"performance":[123],"superiority":[124],"algorithm.":[126],"It":[127],"shows":[128],"from":[129],"results":[131],"that,":[132],"when":[133],"compared":[134],"boasts":[142],"good":[144],"optimization":[145],"ability":[146],"solving":[148],"precision":[149],"is":[151],"characterized":[152],"high":[154],"convergence":[155],"rate":[156],"stability.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}