{"id":"https://openalex.org/W1624605556","doi":"https://doi.org/10.1109/icacci.2015.7275941","title":"2D non-linear state optimization using evolutionary techniques","display_name":"2D non-linear state optimization using evolutionary techniques","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1624605556","doi":"https://doi.org/10.1109/icacci.2015.7275941","mag":"1624605556"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-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/A5006712665","display_name":"Rajiv Kapoor","orcid":"https://orcid.org/0000-0003-3020-1455"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Raiiv Kapoor","raw_affiliation_strings":["Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017511978","display_name":"Ashish Dhiman","orcid":"https://orcid.org/0000-0002-6168-7868"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Dhiman","raw_affiliation_strings":["Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011542313","display_name":"Akshay Uppal","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshay Uppal","raw_affiliation_strings":["Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering)","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Dept. of ECE, Delhi Technological University(Formerly Delhi College of Engineering), India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006712665"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02452335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"140","issue":null,"first_page":"2192","last_page":"2196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9560999870300293,"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/particle-filter","display_name":"Particle filter","score":0.7915316820144653},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7731400728225708},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6328974366188049},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5755516290664673},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5020933151245117},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.4855901598930359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4803958237171173},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.47843626141548157},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4428553283214569},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4179668724536896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41111665964126587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3785896897315979},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.37557271122932434},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3502349257469177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17752882838249207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16140839457511902},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1392885446548462}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7915316820144653},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7731400728225708},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6328974366188049},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5755516290664673},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5020933151245117},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.4855901598930359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4803958237171173},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.47843626141548157},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4428553283214569},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4179668724536896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41111665964126587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3785896897315979},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.37557271122932434},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3502349257469177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17752882838249207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16140839457511902},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1392885446548462},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1963787117","https://openalex.org/W1966857452","https://openalex.org/W1974539925","https://openalex.org/W1987919125","https://openalex.org/W1992246071","https://openalex.org/W2001417445","https://openalex.org/W2014073537","https://openalex.org/W2014730874","https://openalex.org/W2098613108","https://openalex.org/W2102110326","https://openalex.org/W2127900082","https://openalex.org/W2131876759","https://openalex.org/W2157181441","https://openalex.org/W2160337655","https://openalex.org/W2168081761","https://openalex.org/W2178829616","https://openalex.org/W6650904165","https://openalex.org/W6654212980","https://openalex.org/W6675110833"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W4206024512","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2341297234","https://openalex.org/W2394115825"],"abstract_inverted_index":{"In":[0,79],"modelling":[1],"the":[2,13,16,44,49,59,73,84,124,132,139],"non-Gaussian":[3],"and":[4,63,111,130],"non-linearity":[5],"behaviour":[6],"in":[7,47,72,87,123],"t":[8],"he":[9],"systems":[10],"accurately":[11],"for":[12],"estimation":[14,76,97,134],"of":[15,61,77,94,98,118,126,136],"density":[17],"function,":[18],"Particle":[19,32,54],"filter(PF)":[20],"is":[21,121],"considered":[22],"more":[23],"precise":[24],"compared":[25],"to":[26,81],"other":[27],"filters":[28,33],"like":[29,58],"Kalman":[30],"filter.":[31],"are":[34],"also":[35],"known":[36],"as":[37],"Sequential":[38],"Monte":[39],"Carlo":[40],"method":[41,46],"which":[42,67],"used":[43],"sampling":[45],"implementing":[48],"recursive":[50],"Bayesian":[51],"filters.":[52],"However,":[53],"filter":[55,120],"has":[56],"limitations":[57,85],"degradation":[60],"particles":[62,99],"sample":[64],"impoverishment":[65],"(SI)":[66],"afford":[68],"an":[69],"immense":[70],"challenge":[71],"non-linear":[74],"state":[75,96],"particles.":[78],"order":[80],"triumph":[82],"over":[83,138],"(SI),":[86],"this":[88],"paper,":[89],"we":[90],"present":[91],"novel":[92],"implementation":[93],"2-D":[95],"based":[100,109],"on":[101,103],"bearing":[102],"tracking":[104],"problem":[105],"using":[106],"PF-BBO":[107,137],"(Biogeography":[108],"optimization)":[110],"PF-PSO":[112],"(Particle":[113],"swarm":[114],"optimization.":[115],"The":[116],"efficacy":[117],"particle":[119],"expressed":[122],"form":[125],"root-mean-square-error":[127],"values":[128],"(RMSE)":[129],"show":[131],"improved":[133],"accuracy":[135],"PF-PSO.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
