{"id":"https://openalex.org/W2667143831","doi":"https://doi.org/10.1109/ccece.2017.7946703","title":"FIR filter design using Multiobjective Artificial Bee Colony algorithm","display_name":"FIR filter design using Multiobjective Artificial Bee Colony algorithm","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2667143831","doi":"https://doi.org/10.1109/ccece.2017.7946703","mag":"2667143831"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2017.7946703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5000841474","display_name":"Rija Raju","orcid":"https://orcid.org/0000-0002-4463-8781"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rija Raju","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082995815","display_name":"Hon Keung Kwan","orcid":"https://orcid.org/0000-0003-0173-1625"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hon Keung Kwan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000841474"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":1.8169,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86748964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/pruning","display_name":"Pruning","score":0.6374498605728149},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6361138820648193},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5791816711425781},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4928891658782959},{"id":"https://openalex.org/keywords/stopband","display_name":"Stopband","score":0.4886234402656555},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4726002812385559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46943214535713196},{"id":"https://openalex.org/keywords/passband","display_name":"Passband","score":0.46696239709854126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4666103720664978},{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.42582929134368896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3786754012107849},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15795627236366272},{"id":"https://openalex.org/keywords/band-pass-filter","display_name":"Band-pass filter","score":0.15287569165229797},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.06149709224700928}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6374498605728149},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6361138820648193},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5791816711425781},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4928891658782959},{"id":"https://openalex.org/C46271340","wikidata":"https://www.wikidata.org/wiki/Q1971063","display_name":"Stopband","level":3,"score":0.4886234402656555},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4726002812385559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46943214535713196},{"id":"https://openalex.org/C46416853","wikidata":"https://www.wikidata.org/wiki/Q254758","display_name":"Passband","level":3,"score":0.46696239709854126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4666103720664978},{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.42582929134368896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3786754012107849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15795627236366272},{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.15287569165229797},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.06149709224700928},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2017.7946703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","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":29,"referenced_works":["https://openalex.org/W352590176","https://openalex.org/W1535749512","https://openalex.org/W1595498733","https://openalex.org/W1970415119","https://openalex.org/W1982310832","https://openalex.org/W1984851791","https://openalex.org/W1999077811","https://openalex.org/W2012771827","https://openalex.org/W2020043054","https://openalex.org/W2020320008","https://openalex.org/W2033630480","https://openalex.org/W2047626401","https://openalex.org/W2074415142","https://openalex.org/W2086167429","https://openalex.org/W2121489110","https://openalex.org/W2124343182","https://openalex.org/W2126105956","https://openalex.org/W2129532835","https://openalex.org/W2136017933","https://openalex.org/W2163092165","https://openalex.org/W2166129212","https://openalex.org/W2287814884","https://openalex.org/W2507116718","https://openalex.org/W2511237164","https://openalex.org/W2537187440","https://openalex.org/W2558827986","https://openalex.org/W2569694453","https://openalex.org/W6696126189","https://openalex.org/W6730534670"],"related_works":["https://openalex.org/W3113457650","https://openalex.org/W2069531742","https://openalex.org/W2171203456","https://openalex.org/W2053296571","https://openalex.org/W2090908593","https://openalex.org/W4313521831","https://openalex.org/W2016836169","https://openalex.org/W2763894980","https://openalex.org/W1978615574","https://openalex.org/W2810652530"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"general":[3,56,85],"FIR":[4,57,86],"filters":[5,58],"are":[6,22],"designed":[7],"using":[8],"multiobjective":[9,29,100],"Artificial":[10,30,101],"Bee":[11,31,102],"Colony":[12,32,103],"algorithm.":[13,33],"Spherical":[14],"pruning":[15,46,119],"(SP)":[16],"and":[17,44,64,68],"physical":[18],"programming":[19,35],"(PP)":[20],"techniques":[21],"combined":[23],"together":[24],"in":[25,49],"the":[26,37,50,80,84],"implementation":[27],"of":[28,55,62,83,117],"Physical":[34],"converts":[36],"design":[38,54,87],"objectives":[39],"into":[40,92],"an":[41],"intuitive":[42],"language":[43],"spherical":[45,118],"maintains":[47],"diversity":[48],"Pareto":[51,94],"front.":[52,95],"The":[53],"require":[59],"simultaneous":[60],"optimization":[61],"magnitude":[63],"group":[65,110],"delay":[66,111],"errors":[67,112],"therefore":[69],"can":[70,89,105],"be":[71,90],"formulated":[72],"as":[73],"a":[74,93],"Multiobjective":[75,120],"Optimization":[76],"(MOO)":[77],"problem.":[78],"All":[79],"non-dominated":[81],"solutions":[82],"problem":[88],"approximated":[91],"Numerical":[96],"results":[97],"show":[98],"that,":[99],"algorithm":[104],"achieve":[106],"lower":[107],"passband,":[108],"stopband,":[109],"when":[113],"compared":[114],"to":[115],"those":[116],"Differential":[121],"Evolution":[122],"(spMODE-II).":[123]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}