{"id":"https://openalex.org/W3188280449","doi":"https://doi.org/10.1109/cec45853.2021.9505011","title":"The Effects of Initial Condition Selection on the Evolution of a Turn Circle Intercept Feedback Controller","display_name":"The Effects of Initial Condition Selection on the Evolution of a Turn Circle Intercept Feedback Controller","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3188280449","doi":"https://doi.org/10.1109/cec45853.2021.9505011","mag":"3188280449"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9505011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9505011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5011418386","display_name":"Pavlos Androulakakis","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavlos Androulakakis","raw_affiliation_strings":["University of Cincinnati, Cincinnati, Ohio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati, Cincinnati, Ohio","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075911477","display_name":"Zachariah E. Fuchs","orcid":"https://orcid.org/0000-0002-1478-6169"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachariah Fuchs","raw_affiliation_strings":["University of Cincinnati, Cincinnati, Ohio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati, Cincinnati, Ohio","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27313538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1609","last_page":"1618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12158","display_name":"Guidance and Control Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13371","display_name":"Military Defense Systems Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9758999943733215,"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/control-theory","display_name":"Control theory (sociology)","score":0.6935901045799255},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6737593412399292},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6189491152763367},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5971674919128418},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5386476516723633},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.531035304069519},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5027563571929932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49268752336502075},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4611193835735321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4264729917049408},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.20958152413368225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1504490077495575}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6935901045799255},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6737593412399292},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6189491152763367},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5971674919128418},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5386476516723633},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.531035304069519},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5027563571929932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49268752336502075},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4611193835735321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4264729917049408},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.20958152413368225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1504490077495575},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9505011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9505011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W192384649","https://openalex.org/W1522125287","https://openalex.org/W1572694316","https://openalex.org/W1914623597","https://openalex.org/W1914636069","https://openalex.org/W1968430794","https://openalex.org/W1981388088","https://openalex.org/W2012451526","https://openalex.org/W2059321571","https://openalex.org/W2065649479","https://openalex.org/W2133358375","https://openalex.org/W2975747393","https://openalex.org/W2992788005","https://openalex.org/W3093686809","https://openalex.org/W3094041947","https://openalex.org/W6634354144","https://openalex.org/W6640101022","https://openalex.org/W6645405964","https://openalex.org/W6771071240"],"related_works":["https://openalex.org/W3013085049","https://openalex.org/W1560496689","https://openalex.org/W4386900933","https://openalex.org/W4385301946","https://openalex.org/W4297797135","https://openalex.org/W3125672081","https://openalex.org/W1673581201","https://openalex.org/W2991991550","https://openalex.org/W64182352","https://openalex.org/W4289799755"],"abstract_inverted_index":{"We":[0],"explore":[1],"the":[2,12,19,93,97,119,128,131],"effects":[3],"of":[4,14,48,76,104,130],"four":[5,148],"different":[6,149],"initial":[7,77,105,109,153],"condition":[8],"selection":[9],"methods":[10,150],"on":[11,127],"evolution":[13],"a":[15,39,65,102,124],"feedback":[16,66,98],"controller":[17],"for":[18,59,84,151],"Turn":[20],"Circle":[21],"Intercept":[22],"problem.":[23],"In":[24,62,137],"this":[25,80,138],"problem,":[26],"an":[27,73],"Attacker":[28],"with":[29],"constant":[30],"speed":[31],"and":[32,55,113,133,163],"bounded":[33],"turn":[34],"rate":[35],"attempts":[36],"to":[37,142],"intercept":[38],"constantly":[40],"turning":[41],"Target":[42],"in":[43,52],"minimum":[44],"time.":[45],"This":[46],"type":[47],"problem":[49],"arises":[50],"frequently":[51],"air":[53],"combat":[54],"formation":[56],"maintenance":[57],"scenarios":[58],"winged":[60],"aircraft.":[61],"general,":[63],"calculating":[64],"controller's":[67,99],"true":[68],"fitness":[69,94],"requires":[70],"evaluation":[71],"from":[72,101],"infinite":[74],"number":[75],"conditions.":[78,106],"Since":[79],"is":[81],"not":[82],"practical":[83],"nonlinear":[85],"systems":[86],"such":[87],"as":[88],"this,":[89],"we":[90,140],"instead":[91],"approximate":[92],"by":[95,146],"averaging":[96],"performance":[100,129],"subset":[103],"How":[107],"these":[108,144],"conditions":[110],"are":[111,116],"selected":[112],"where":[114],"they":[115],"located":[117],"within":[118],"state":[120],"space":[121],"can":[122],"have":[123],"large":[125],"impact":[126],"algorithm":[132],"resulting":[134],"evolved":[135],"solutions.":[136],"research,":[139],"aim":[141],"quantify":[143],"differences":[145],"comparing":[147],"selecting":[152],"conditions:":[154],"Grid":[155],"Sampling,":[156,159,162],"Uniform":[157],"Random":[158,165],"Randomized":[160],"Step-Back":[161],"Hybrid":[164],"Sampling.":[166]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
