{"id":"https://openalex.org/W7155031215","doi":"https://doi.org/10.1109/access.2026.3685965","title":"Maximum Likelihood Estimation-Based Multi-Objective Evolutionary Algorithm for Parameter Optimization of SR-ADC","display_name":"Maximum Likelihood Estimation-Based Multi-Objective Evolutionary Algorithm for Parameter Optimization of SR-ADC","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7155031215","doi":"https://doi.org/10.1109/access.2026.3685965"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3685965","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685965","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.2026.3685965","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Madhusmita Panda","orcid":"https://orcid.org/0009-0001-9085-9614"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Madhusmita Panda","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Siksha &#x2018;O&#x2019; Anusandhan Deemed to be University, Bhubaneswar, Odisha, India"],"raw_orcid":"https://orcid.org/0009-0001-9085-9614","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Siksha &#x2018;O&#x2019; Anusandhan Deemed to be University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002930237","display_name":"Saraju Prasad Padhy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saraju Prasad Padhy","raw_affiliation_strings":["BSNL, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-6331-3798","affiliations":[{"raw_affiliation_string":"BSNL, Bhubaneswar, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193073490"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79909192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"62210","last_page":"62220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.1370999962091446,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.1370999962091446,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11697","display_name":"Numerical Methods and Algorithms","score":0.08079999685287476,"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/T11236","display_name":"Control Systems and Identification","score":0.06949999928474426,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/maximum-likelihood","display_name":"Maximum likelihood","score":0.6450999975204468},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6123999953269958},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.557200014591217},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.4832000136375427},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4544999897480011},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.430400013923645},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.39489999413490295},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3596999943256378}],"concepts":[{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.6450999975204468},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6123999953269958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6098999977111816},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.4832000136375427},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45820000767707825},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44200000166893005},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.39489999413490295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37869998812675476},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.3292999863624573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C158564503","wikidata":"https://www.wikidata.org/wiki/Q5936745","display_name":"Human-based evolutionary computation","level":5,"score":0.2881999909877777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C26359558","wikidata":"https://www.wikidata.org/wiki/Q7269462","display_name":"Quasi-maximum likelihood","level":4,"score":0.27140000462532043},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C123189799","wikidata":"https://www.wikidata.org/wiki/Q6045380","display_name":"Interactive evolutionary computation","level":4,"score":0.26429998874664307},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25760000944137573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3685965","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685965","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:cdd274e0f38d40bb9434c2f3304c2696","is_oa":true,"landing_page_url":"https://doaj.org/article/cdd274e0f38d40bb9434c2f3304c2696","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 14, Pp 62210-62220 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3685965","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685965","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Switched":[0],"Reference":[1],"Analog-to-Digital":[2],"Converters":[3],"(SR-ADCs)":[4],"are":[5,169],"widely":[6],"used":[7,112,170],"in":[8,238],"Ultra-Wideband":[9],"(UWB)":[10],"Communication":[11],"systems":[12],"due":[13],"to":[14,113,138,171],"their":[15],"high":[16],"sampling":[17,186],"efficiency":[18],"and":[19,40,50,62,102,121,144,154,160,190,232],"low":[20],"hardware":[21],"complexity.":[22],"However,":[23],"optimizing":[24],"the":[25,95,128,140,173,192,226],"parameters":[26],"of":[27,33,65,182,188,207,213],"SR-ADCs":[28],"accurately":[29,114],"is":[30,111,135,201,216],"challenging":[31],"because":[32],"nonlinear":[34],"circuit":[35,161],"behavior,":[36],"many":[37],"noise":[38,66,129],"sources,":[39],"conflicting":[41],"design":[42,142,240],"goals":[43],"such":[44],"as":[45],"chip":[46,155],"area,":[47],"power":[48,152,199,205],"consumption,":[49,153],"signal-to-noise":[51],"ratio":[52],"(SNR).":[53],"Traditional":[54],"optimization":[55,81,237],"methods":[56],"often":[57],"suffer":[58],"from":[59],"slow":[60],"convergence":[61],"prior":[63,125],"knowledge":[64],"distribution":[67],"for":[68,203,235,241],"accurate":[69],"parameter":[70,236],"estimates.":[71],"To":[72],"solve":[73],"these":[74],"challenges,":[75],"this":[76,214],"paper":[77],"proposes":[78],"a":[79,88,185,204],"hybrid":[80,132],"model":[82],"that":[83,92,148,225],"combines":[84,94],"ML":[85,109],"estimation":[86],"with":[87],"multi-objective":[89,141],"evolutionary":[90],"algorithm":[91],"further":[93],"Non-dominated":[96],"Sorting":[97],"Genetic":[98],"Algorithm":[99],"III":[100],"(NSGA-III)":[101],"Multi-Objective":[103],"Particle":[104],"Swarm":[105],"Optimization":[106],"(MOPSO).":[107],"The":[108,131,176,197,209,222],"estimator":[110],"estimate":[115],"important":[116],"performance":[117],"metrics":[118],"like":[119],"SNR":[120,150,193],"ENOB":[122,181],"without":[123],"requiring":[124],"information":[126],"about":[127],"distribution.":[130],"MOPSO\u2013NSGA-III":[133],"method":[134],"then":[136],"utilized":[137],"explore":[139],"space":[143],"obtain":[145],"Pareto-optimal":[146],"solutions":[147],"balance":[149],"improvement,":[151],"area.":[156],"Monte":[157],"Carlo":[158],"simulations":[159],"implementation":[162],"using":[163],"UMC":[164],"180":[165],"nm":[166],"CMOS":[167],"technology":[168],"validate":[172],"proposed":[174],"method.":[175],"designed":[177],"SR-ADC":[178,239],"shows":[179],"an":[180,230],"3.82":[183],"at":[184],"speed":[187],"500MHz":[189],"improves":[191],"by":[194],"9":[195],"dB.":[196],"total":[198,210],"consumption":[200],"\u224821.39mW":[202],"supply":[206],"1.8V.":[208],"core":[211],"area":[212],"ADC":[215],"approximately":[217],"\u2248":[218],"253.7\u00d7221.88\u03bcm<sup":[219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>.":[221],"results":[223],"demonstrate":[224],"suggested":[227],"approach":[228],"provides":[229],"effective":[231],"practical":[233],"solution":[234],"high-performance":[242],"UWB":[243],"applications.":[244]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-04-22T00:00:00"}