{"id":"https://openalex.org/W7135035631","doi":"https://doi.org/10.31449/inf.v50i9.12763","title":"Hybrid Deep Q-Learning and Genetic Algorithm-Based Intelligent Agent Simulation Framework for Dynamic Distribution Network Optimization","display_name":"Hybrid Deep Q-Learning and Genetic Algorithm-Based Intelligent Agent Simulation Framework for Dynamic Distribution Network Optimization","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135035631","doi":"https://doi.org/10.31449/inf.v50i9.12763"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i9.12763","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i9.12763","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12763/6549","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/12763/6549","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000863232","display_name":"Shipi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118063","display_name":"Guangxi Normal University for Nationalities","ror":"https://ror.org/02cejc171","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118063"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shipi Huang","raw_affiliation_strings":["Guangxi Natural Resources Vocational and Technical College, Chongzuo, Guangxi,532200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Natural Resources Vocational and Technical College, Chongzuo, Guangxi,532200, China","institution_ids":["https://openalex.org/I4210118063"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000863232"],"corresponding_institution_ids":["https://openalex.org/I4210118063"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23558195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10305","display_name":"Power System Optimization and Stability","score":0.023399999365210533,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/reliability","display_name":"Reliability (semiconductor)","score":0.6021999716758728},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5637999773025513},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.5587999820709229},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4726000130176544},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4496000111103058},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4081999957561493},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.35040000081062317},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.34700000286102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183000206947327},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6021999716758728},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3873000144958496},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C149808339","wikidata":"https://www.wikidata.org/wiki/Q5319019","display_name":"Dynamic simulation","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i9.12763","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i9.12763","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12763/6549","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i9.12763","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i9.12763","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12763/6549","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7135035631.pdf","grobid_xml":"https://content.openalex.org/works/W7135035631.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"modern":[1],"power":[2,98],"distribution":[3,43,99,164,189],"systems,":[4,167],"ensuring":[5],"stability,":[6],"adaptability,":[7],"and":[8,35,41,69,90,112,121,143,155,162,171,221,237,244],"intelligent":[9,136],"decision-making":[10],"under":[11,228],"dynamic":[12,97,219],"load":[13,220],"conditions":[14],"remains":[15],"a":[16,48,81,96,153,169,186,194,202,210],"major":[17],"technical":[18],"challenge.":[19],"This":[20,150],"paper":[21],"proposes":[22],"an":[23,56],"Intelligent":[24],"Agent\u2013based":[25],"Optimization":[26],"Simulation":[27],"Framework":[28],"(IA-OSF)":[29],"designed":[30],"to":[31,86,241],"enhance":[32],"the":[33],"reliability":[34,122],"operational":[36,215],"efficiency":[37],"of":[38,61],"complex":[39],"medium-":[40],"low-voltage":[42],"networks.":[44],"The":[45,77,132,180],"framework":[46,182],"integrates":[47],"multi-agent":[49],"perception\u2013learning\u2013optimization":[50],"cycle,":[51],"where":[52],"each":[53],"agent":[54,137],"represents":[55],"autonomous":[57],"decision":[58],"node":[59],"capable":[60],"sensing":[62],"local":[63],"environmental":[64],"changes,":[65],"extracting":[66],"relevant":[67],"features,":[68],"executing":[70],"optimized":[71],"reconfiguration":[72],"strategies":[73],"through":[74],"reinforcement":[75],"feedback.":[76],"proposed":[78,181],"IA-OSF":[79,103],"uses":[80],"hybrid":[82,207],"GA\u2013DQL":[83,206],"learning":[84],"core":[85],"achieve":[87],"fast":[88],"convergence":[89,141],"fault-adaptive":[91],"control.":[92],"Experimental":[93],"evaluation":[94],"using":[95,193,209],"dataset":[100,211],"demonstrates":[101],"that":[102,135],"surpasses":[104],"existing":[105],"optimization":[106],"approaches":[107],"such":[108],"as":[109],"PSO,":[110],"MARL,":[111],"GNN-PPO":[113],"by":[114],"achieving":[115],"superior":[116],"accuracy":[117],"(97.8%),":[118],"precision":[119],"(96.3%),":[120],"indices":[123],"(Delivery":[124],"Reliability":[125],"=":[126,130],"0.971,":[127],"System":[128],"Resilience":[129],"0.926).":[131],"results":[133],"confirm":[134],"collaboration":[138],"significantly":[139],"reduces":[140],"time":[142],"enhances":[144],"recovery":[145],"performance":[146],"after":[147],"fault":[148],"events.":[149],"study":[151],"provides":[152],"reproducible":[154],"extensible":[156],"foundation":[157],"for":[158,174],"developing":[159],"autonomous,":[160],"intelligent,":[161],"resilient":[163],"network":[165,190],"control":[166],"offering":[168],"theoretical":[170],"practical":[172],"reference":[173],"China\u2019s":[175],"ongoing":[176],"smart-grid":[177],"modernization":[178],"initiatives.":[179],"was":[183],"evaluated":[184],"in":[185],"simulated":[187],"48-node":[188],"environment":[191],"constructed":[192],"digital-twin":[195],"architecture.":[196],"All":[197],"experiments":[198],"were":[199,226],"executed":[200],"on":[201],"Python-based":[203],"platform":[204],"with":[205],"optimization,":[208],"comprising":[212],"3,456":[213],"time-stamped":[214],"records":[216],"generated":[217],"from":[218],"voltage":[222],"profiles.":[223],"Performance":[224],"metrics":[225],"obtained":[227],"consistent":[229],"train\u2013test":[230],"splits":[231],"(80/20),":[232],"five":[233],"repeated":[234],"simulation":[235],"runs,":[236],"uniform":[238],"hyperparameter":[239],"settings":[240],"ensure":[242],"reproducibility":[243],"experimental":[245],"fairness.":[246]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-13T00:00:00"}