{"id":"https://openalex.org/W4407173352","doi":"https://doi.org/10.1109/access.2025.3539460","title":"MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions","display_name":"MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407173352","doi":"https://doi.org/10.1109/access.2025.3539460"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3539460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3539460","pdf_url":null,"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://doi.org/10.1109/access.2025.3539460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087906445","display_name":"\u0410\u043a\u043e\u043f\u043e\u0432 \u0410\u043d\u0434\u0440\u0430\u043d\u0438\u043a \u0421\u0443\u043c\u0431\u0430\u0442\u043e\u0432\u0438\u0447","orcid":"https://orcid.org/0000-0003-0627-3037"},"institutions":[{"id":"https://openalex.org/I2802368776","display_name":"Central Economics and Mathematics Institute","ror":"https://ror.org/02n937p61","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2802368776","https://openalex.org/I4210120228"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andranik S. Akopov","raw_affiliation_strings":["Department of Dynamic Models of Economics and Optimization, Russian Academy of Sciences, Central Economics and Mathematics Institute, Moscow, Russia","Central Economics and Mathematics Institute of Russian Academy of Sciences, Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0003-0627-3037","affiliations":[{"raw_affiliation_string":"Department of Dynamic Models of Economics and Optimization, Russian Academy of Sciences, Central Economics and Mathematics Institute, Moscow, Russia","institution_ids":["https://openalex.org/I2802368776"]},{"raw_affiliation_string":"Central Economics and Mathematics Institute of Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I2802368776"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087906445"],"corresponding_institution_ids":["https://openalex.org/I2802368776"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":39.1272,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9975798,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"26843","last_page":"26863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.4977000057697296,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.4977000057697296,"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/computer-science","display_name":"Computer science","score":0.6494253277778625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5203335285186768},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49848079681396484},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48260581493377686},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.42646247148513794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14670899510383606},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07467260956764221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494253277778625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5203335285186768},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49848079681396484},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48260581493377686},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.42646247148513794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14670899510383606},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07467260956764221},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3539460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3539460","pdf_url":null,"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:87f09014bfa04756b339ca145fc409f9","is_oa":true,"landing_page_url":"https://doaj.org/article/87f09014bfa04756b339ca145fc409f9","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 13, Pp 26843-26863 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3539460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3539460","pdf_url":null,"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":[{"id":"https://openalex.org/G107377750","display_name":null,"funder_award_id":"075-15-2024-525","funder_id":"https://openalex.org/F4320327494","funder_display_name":"Ministry of Science and Higher Education of the Russian Federation"}],"funders":[{"id":"https://openalex.org/F4320327494","display_name":"Ministry of Science and Higher Education of the Russian Federation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1541288193","https://openalex.org/W1963987706","https://openalex.org/W1967573487","https://openalex.org/W1971952725","https://openalex.org/W1976233986","https://openalex.org/W1982346081","https://openalex.org/W1984576194","https://openalex.org/W1986925596","https://openalex.org/W1987235421","https://openalex.org/W2003194719","https://openalex.org/W2010659620","https://openalex.org/W2036441111","https://openalex.org/W2038633195","https://openalex.org/W2050401890","https://openalex.org/W2050414985","https://openalex.org/W2058269445","https://openalex.org/W2061438946","https://openalex.org/W2064760539","https://openalex.org/W2100004220","https://openalex.org/W2119734366","https://openalex.org/W2126105956","https://openalex.org/W2127088319","https://openalex.org/W2135646341","https://openalex.org/W2143420866","https://openalex.org/W2148833217","https://openalex.org/W2236499470","https://openalex.org/W2524273003","https://openalex.org/W2772085743","https://openalex.org/W2793547514","https://openalex.org/W2795823933","https://openalex.org/W2800386452","https://openalex.org/W2904349775","https://openalex.org/W2947030066","https://openalex.org/W2988746083","https://openalex.org/W3005054504","https://openalex.org/W3088465921","https://openalex.org/W3124449569","https://openalex.org/W3125190915","https://openalex.org/W3129824161","https://openalex.org/W3152737532","https://openalex.org/W3216964091","https://openalex.org/W4205129187","https://openalex.org/W4223638919","https://openalex.org/W4252284432","https://openalex.org/W4297337162","https://openalex.org/W4313147670","https://openalex.org/W4327970379","https://openalex.org/W4378903655","https://openalex.org/W4380354135","https://openalex.org/W4382138691","https://openalex.org/W4388562664","https://openalex.org/W4389130342","https://openalex.org/W4391454474","https://openalex.org/W4391546180","https://openalex.org/W4391791486","https://openalex.org/W4400087810","https://openalex.org/W4402067400","https://openalex.org/W4403412047","https://openalex.org/W4405921906","https://openalex.org/W6635097213","https://openalex.org/W6738459688"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0,27,57,197],"article":[1],"discusses":[2],"the":[3,35,60,86,91,118,121,144,151,154,157,168,208,231,237,245,252],"development":[4],"and":[5,46,104,117,129,161,215,221,251],"study":[6],"of":[7,20,59,88,108,120,136,146,153,159,240],"a":[8,54,182,204],"new":[9],"matrix-based":[10],"hybrid":[11,55],"genetic":[12,51,183],"algorithm":[13,39,93,184,233],"(MBHGA)":[14],"for":[15,71,176,191,218,222],"solving":[16,132],"an":[17,133,227],"agent-based":[18,134],"model":[19,29,135,155],"firms\u2019":[21,137],"behavior":[22],"with":[23,43],"controlled":[24],"trade":[25,195,201,241],"interactions.":[26,82],"proposed":[28],"employs":[30],"symmetric":[31],"strategies":[32,70],"optimized":[33],"using":[34,181,230],"MBHGA":[36,92,147,232],"algorithm.":[37],"This":[38],"combines":[40],"evolutionary":[41,169],"search":[42,170],"real-coded":[44],"crossover":[45,49,174],"matrix":[47,173],"binary-coded":[48],"as":[50,99],"operators,":[52],"creating":[53],"approach.":[56],"aim":[58],"designed":[61],"system":[62],"is":[63],"to":[64,187,247],"assist":[65],"decision-makers":[66],"in":[67,74,106,141,212],"selecting":[68],"optimal":[69],"their":[72],"firms":[73],"situations":[75],"where":[76],"some":[77],"companies":[78,193],"impose":[79],"restrictions":[80,202,242],"on":[81,150,207],"As":[83,139],"demonstrated":[84,140],"by":[85,112,126,166,243],"results":[87,198],"optimization":[89],"experiments,":[90],"significantly":[94,148],"outperformed":[95],"other":[96],"methods,":[97],"such":[98],"RCGA,":[100],"PSO,":[101],"GWO,":[102],"SPEA2,":[103],"NSGA-II,":[105],"terms":[107],"both":[109,213],"accuracy":[110],"(measured":[111,125],"deviations":[113],"from":[114],"reference":[115],"values)":[116],"quality":[119],"Pareto":[122],"front":[123],"approximation":[124],"LHV,":[127],"IGD,":[128],"CPF)":[130],"when":[131],"behavior.":[138],"this":[142],"study,":[143],"performance":[145],"depends":[149],"size":[152],"(i.e.,":[156],"number":[158],"agents),":[160],"it":[162],"can":[163,234],"be":[164],"enhanced":[165],"parallelizing":[167],"process,":[171],"including":[172],"operations":[175],"decision":[177],"variables.":[178],"Optimization":[179],"experiments":[180],"were":[185],"conducted":[186],"maximize":[188],"utility":[189,209],"functions":[190],"agent":[192],"under":[194],"restrictions.":[196],"showed":[199],"that":[200],"have":[203],"negative":[205,238],"impact":[206],"function":[210],"values":[211],"single-":[214],"multi-objective":[216],"optimization,":[217],"selected":[219],"countries":[220],"all":[223],"countries\u2019":[224],"firms.":[225],"However,":[226],"optimization-based":[228],"approach":[229],"help":[235],"minimize":[236],"consequences":[239],"providing":[244],"ability":[246],"find":[248],"nondominated":[249],"solutions":[250],"best":[253],"possible":[254],"trade-offs.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":19}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
