{"id":"https://openalex.org/W2948126416","doi":"https://doi.org/10.1109/access.2019.2920698","title":"A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm","display_name":"A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948126416","doi":"https://doi.org/10.1109/access.2019.2920698","mag":"2948126416"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2920698","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920698","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730321.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":null,"license_id":null,"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/ielx7/6287639/8600701/08730321.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002004426","display_name":"Junhua Liu","orcid":"https://orcid.org/0000-0002-2791-9581"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junhua Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339104","display_name":"Yuping Wang","orcid":"https://orcid.org/0000-0001-6868-0004"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063234459","display_name":"Shiwei Wei","orcid":"https://orcid.org/0000-0002-2324-4791"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Wei","raw_affiliation_strings":["School of Computer and Technology, Guilin University of Aerospace Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, Guilin University of Aerospace Technology, Guilin, China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042636693","display_name":"Xiangjuan Wu","orcid":"https://orcid.org/0000-0001-8723-5299"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjuan Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101379341","display_name":"Wuning Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I75920027","display_name":"Shaanxi University of Chinese Medicine","ror":"https://ror.org/021r98132","country_code":"CN","type":"education","lineage":["https://openalex.org/I75920027"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuning Tong","raw_affiliation_strings":["School of Science, Shaanxi University of Chinese Medicine, Xianyang, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Shaanxi University of Chinese Medicine, Xianyang, China","institution_ids":["https://openalex.org/I75920027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002004426"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3999,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63712893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"81701","last_page":"81716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9940999746322632,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7044961452484131},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6779180765151978},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6224429607391357},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6160638928413391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5619680285453796},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5185640454292297},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5179516077041626},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.4914935827255249},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4714328348636627},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.4571812152862549},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4376704692840576},{"id":"https://openalex.org/keywords/penalty-method","display_name":"Penalty method","score":0.43202245235443115},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4255392551422119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35396426916122437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3352392911911011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20261460542678833}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7044961452484131},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6779180765151978},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6224429607391357},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6160638928413391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5619680285453796},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5185640454292297},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5179516077041626},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.4914935827255249},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4714328348636627},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.4571812152862549},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4376704692840576},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.43202245235443115},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4255392551422119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35396426916122437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3352392911911011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20261460542678833},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2920698","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920698","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730321.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f40327d8b2945f09df817416baeeec9","is_oa":true,"landing_page_url":"https://doaj.org/article/3f40327d8b2945f09df817416baeeec9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 81701-81716 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2920698","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920698","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730321.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":null,"license_id":null,"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/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2616006192","display_name":null,"funder_award_id":"2016JZ022","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7225477396","display_name":null,"funder_award_id":"61872281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948126416.pdf","grobid_xml":"https://content.openalex.org/works/W2948126416.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W144571061","https://openalex.org/W225560312","https://openalex.org/W763499377","https://openalex.org/W1480428252","https://openalex.org/W1512891209","https://openalex.org/W1522538275","https://openalex.org/W1525375343","https://openalex.org/W1545005363","https://openalex.org/W1605170913","https://openalex.org/W1607221389","https://openalex.org/W1662894842","https://openalex.org/W1679265603","https://openalex.org/W1846834309","https://openalex.org/W1856614156","https://openalex.org/W1968219458","https://openalex.org/W1996228877","https://openalex.org/W1999218527","https://openalex.org/W2022485595","https://openalex.org/W2024008934","https://openalex.org/W2025525377","https://openalex.org/W2038420231","https://openalex.org/W2043947065","https://openalex.org/W2049864887","https://openalex.org/W2050914643","https://openalex.org/W2058142975","https://openalex.org/W2060049793","https://openalex.org/W2063375245","https://openalex.org/W2067544246","https://openalex.org/W2068411105","https://openalex.org/W2072661909","https://openalex.org/W2073317560","https://openalex.org/W2075016777","https://openalex.org/W2090797242","https://openalex.org/W2094195767","https://openalex.org/W2098907614","https://openalex.org/W2106334424","https://openalex.org/W2108968575","https://openalex.org/W2116661285","https://openalex.org/W2126105956","https://openalex.org/W2133787071","https://openalex.org/W2134152443","https://openalex.org/W2136386226","https://openalex.org/W2136680909","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2150046657","https://openalex.org/W2154693991","https://openalex.org/W2173396220","https://openalex.org/W2343601797","https://openalex.org/W2466060750","https://openalex.org/W2469950730","https://openalex.org/W2529253627","https://openalex.org/W2531576583","https://openalex.org/W2557786635","https://openalex.org/W2563621803","https://openalex.org/W2594575977","https://openalex.org/W2739082215","https://openalex.org/W2753754628","https://openalex.org/W2764251381","https://openalex.org/W2783781089","https://openalex.org/W2785791241","https://openalex.org/W2789203958","https://openalex.org/W2900754213","https://openalex.org/W2900950403","https://openalex.org/W2918053368","https://openalex.org/W2994964425","https://openalex.org/W3100195331","https://openalex.org/W3100495615","https://openalex.org/W6608886761","https://openalex.org/W6628770400","https://openalex.org/W6631460888","https://openalex.org/W6668545982","https://openalex.org/W6730315763","https://openalex.org/W6756125823","https://openalex.org/W6760473951","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W3149308343","https://openalex.org/W4241522606","https://openalex.org/W2751605210","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W1571925721","https://openalex.org/W2744730182","https://openalex.org/W2387767111"],"abstract_inverted_index":{"Many-objective":[0],"optimization":[1],"problems":[2,168],"(MaOPs)":[3],"present":[4],"a":[5,53,59,67,90,114,132],"huge":[6],"challenge":[7],"to":[8,74,80,171],"the":[9,15,18,22,25,30,33,36,41,141,150,154,179],"traditional":[10],"Pareto-based":[11],"multi-objective":[12],"algorithms":[13,160],"because":[14],"increase":[16],"of":[17,24,83,101,106,143,165,187],"objectives":[19,84],"results":[20,176],"in":[21,28,44,65,103,185],"low-efficiency":[23],"Pareto":[26],"dominance":[27,61],"distinguishing":[29],"relationships":[31],"between":[32],"solutions":[34],"during":[35],"environmental":[37],"selection.":[38],"To":[39],"enhance":[40],"selection":[42,96],"pressure,":[43],"this":[45],"paper,":[46],"through":[47],"redefining":[48],"each":[49,144],"objective":[50],"function":[51],"by":[52,131],"non-linear":[54],"transformation,":[55],"we":[56,112,148],"first":[57],"propose":[58],"new":[60,115],"method":[62],"called":[63],"NLAD-dominance,":[64,111],"which":[66,119],"dynamic":[68],"parameter":[69,77],"adjusting":[70],"scheme":[71],"is":[72,182],"designed":[73],"dynamically":[75],"adjust":[76],"\u03b1":[78],"according":[79],"different":[81,86,99,104],"numbers":[82],"and":[85,123,127,152,191],"evolutionary":[87],"states.":[88],"As":[89],"result,":[91],"NLAD-dominance":[92],"can":[93,138],"provide":[94],"proper":[95],"pressure":[97],"for":[98],"kinds":[100],"MaOPs":[102],"stages":[105],"evolution.":[107],"Then,":[108],"based":[109],"on":[110,161],"design":[113],"fitness":[116],"estimation":[117],"strategy":[118],"takes":[120],"both":[121,188],"convergence":[122,189],"diversity":[124,192],"into":[125],"account,":[126],"adaptively":[128],"balances":[129],"them":[130],"parameterless":[133],"penalty":[134],"rule.":[135],"Thus,":[136],"it":[137],"well":[139],"evaluate":[140],"quality":[142],"solution.":[145],"At":[146],"last,":[147],"conduct":[149],"experiments":[151],"compare":[153],"proposed":[155,180],"algorithm":[156,181],"with":[157,169],"five":[158],"state-of-the-art":[159],"80":[162],"test":[163],"instances":[164],"16":[166],"benchmark":[167],"up":[170],"20":[172],"objectives.":[173],"The":[174],"experimental":[175],"indicate":[177],"that":[178],"highly":[183],"competitive":[184],"terms":[186],"enhancement":[190],"maintenance.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
