{"id":"https://openalex.org/W7123856684","doi":"https://doi.org/10.3103/s0146411625701226","title":"Research on Multi-Objective Optimization of ATO Based on Adaptive Learning Mixed-Strategy Particle Swarm Algorithm","display_name":"Research on Multi-Objective Optimization of ATO Based on Adaptive Learning Mixed-Strategy Particle Swarm Algorithm","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7123856684","doi":"https://doi.org/10.3103/s0146411625701226"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411625701226","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625701226","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"},"type":"article","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/A5082981192","display_name":"Wei Jianpeng","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei\u00a0Jianpeng","raw_affiliation_strings":["School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122976503","display_name":"Hou Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Tao","raw_affiliation_strings":["School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117111836","display_name":"NIU Hongxia","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niu Hongxia","raw_affiliation_strings":["School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082981192"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60016573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"5","first_page":"674","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.006399999838322401,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.002400000113993883,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/punctuality","display_name":"Punctuality","score":0.7723000049591064},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7457000017166138},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6725999712944031},{"id":"https://openalex.org/keywords/penalty-method","display_name":"Penalty method","score":0.6450999975204468},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5217999815940857},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4645000100135803},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4462999999523163},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4397999942302704},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43540000915527344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278999924659729},{"id":"https://openalex.org/C2779548549","wikidata":"https://www.wikidata.org/wiki/Q153487","display_name":"Punctuality","level":2,"score":0.7723000049591064},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7457000017166138},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6725999712944031},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.6450999975204468},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5217999815940857},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.513700008392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4462999999523163},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.3271999955177307},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C131806220","wikidata":"https://www.wikidata.org/wiki/Q852705","display_name":"Evaluation function","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411625701226","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625701226","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9124205112457275,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2790368141","https://openalex.org/W2803213930","https://openalex.org/W2980088187","https://openalex.org/W3004918633","https://openalex.org/W3216281377","https://openalex.org/W4312081963"],"related_works":[],"abstract_inverted_index":{"For":[0],"the":[1,14,40,43,65,72,79,97,99,105,124,129,141,144,159,162,187,190,194,198,210],"multi-objective":[2,87],"optimization":[3,88,147,169],"problem":[4],"of":[5,16,21,42,46,50,58,68,74,90,143,189,201],"energy":[6,199],"saving,":[7],"comfort,":[8,206],"punctuality":[9],"and":[10,71,104,154,182,207,214],"on-time":[11],"performance":[12],"in":[13,133,137,193,196],"process":[15],"Automatic":[17],"Train":[18],"Operation":[19],"(ATO)":[20],"high-speed":[22,51,59,69,91,100,183,202],"trains,":[23],"a":[24,53,86,116],"solution":[25],"algorithm":[26,31,148,170],"based":[27],"on":[28,212,215],"particle":[29,145,167],"swarm":[30,146,168],"with":[32,96],"adaptive":[33,163],"hybrid":[34],"strategy":[35,166],"is":[36,61,82,150,171,175],"proposed.":[37,172],"Firstly,":[38],"for":[39],"inaccuracy":[41],"force":[44],"analysis":[45],"single-mass":[47],"point":[48,56],"modeling":[49],"train,":[52],"rigid":[54],"multi-mass":[55],"model":[57,67,89],"train":[60,75,92,101,203],"established;":[62],"secondly,":[63],"using":[64],"dynamics":[66],"trains":[70,184],"safety":[73],"operation":[76],"as":[77,111],"constraints,":[78,98],"affiliation":[80],"function":[81,119,131],"used":[83,110,132],"to":[84,114,120,123,139,152,156,185],"establish":[85],"ATO,":[93],"when":[94],"dealing":[95],"stopping":[102],"error":[103],"line":[106],"speed":[107],"limit":[108],"are":[109],"penalty":[112,118],"items":[113],"construct":[115],"suitable":[117],"be":[121],"added":[122],"objective":[125],"function,":[126],"which":[127],"constitutes":[128],"fitness":[130],"this":[134],"paper;":[135],"finally,":[136],"order":[138],"solve":[140],"shortcomings":[142],"that":[149],"easy":[151,155],"converge":[153],"fall":[157],"into":[158],"local":[160],"optimum,":[161],"learning":[164],"mixed":[165],"Experimental":[173],"validation":[174],"carried":[176],"out":[177],"by":[178],"selecting":[179],"real":[180],"routes":[181],"verify":[186],"effectiveness":[188],"method":[191],"proposed":[192],"paper":[195],"reducing":[197],"consumption":[200],"operation,":[204],"improving":[205],"arriving":[208],"at":[209],"destination":[211],"time":[213],"schedule.":[216]},"counts_by_year":[],"updated_date":"2026-01-14T23:44:37.837170","created_date":"2026-01-14T00:00:00"}