{"id":"https://openalex.org/W2730518022","doi":"https://doi.org/10.1109/cec.2017.7969590","title":"Evolutionary design of engagement strategies for turn-constrained agents","display_name":"Evolutionary design of engagement strategies for turn-constrained agents","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2730518022","doi":"https://doi.org/10.1109/cec.2017.7969590","mag":"2730518022"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavlos Androulakakis","raw_affiliation_strings":["Department of Electrical Engineering, Wright State University, Dayton, OH, Zachariah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Wright State University, Dayton, OH, Zachariah","institution_ids":["https://openalex.org/I19648265"]}]},{"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/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachariah E. Fuchs","raw_affiliation_strings":["Department of Electrical Engineering, Wright State University, Dayton, OH, Zachariah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Wright State University, Dayton, OH, Zachariah","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":22.8334,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.988707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2354","last_page":"2363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9700999855995178,"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/T13371","display_name":"Military Defense Systems Analysis","score":0.9535999894142151,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7171617746353149},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5495140552520752},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5417945384979248},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.489139586687088},{"id":"https://openalex.org/keywords/pursuit-evasion","display_name":"Pursuit-evasion","score":0.4662795066833496},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.45782148838043213},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43706053495407104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35139626264572144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3222135007381439},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21481138467788696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19470074772834778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171617746353149},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5495140552520752},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5417945384979248},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.489139586687088},{"id":"https://openalex.org/C2778388243","wikidata":"https://www.wikidata.org/wiki/Q7261573","display_name":"Pursuit-evasion","level":2,"score":0.4662795066833496},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.45782148838043213},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43706053495407104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35139626264572144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3222135007381439},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21481138467788696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19470074772834778},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/cec.2017.7969590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","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/W1509799391","https://openalex.org/W1988727437","https://openalex.org/W2023775503","https://openalex.org/W2030910200","https://openalex.org/W2039110960","https://openalex.org/W2055504162","https://openalex.org/W2055726688","https://openalex.org/W2058256119","https://openalex.org/W2058737528","https://openalex.org/W2067715719","https://openalex.org/W2073714643","https://openalex.org/W2092769278","https://openalex.org/W2129798991","https://openalex.org/W2131181636","https://openalex.org/W2162909213","https://openalex.org/W2346684976","https://openalex.org/W2478566203","https://openalex.org/W2559469137","https://openalex.org/W3100228804"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2794103424","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W1996530509"],"abstract_inverted_index":{"We":[0,101],"examine":[1,82],"the":[2,73,83],"use":[3],"of":[4,76,85,93],"an":[5,30],"evolutionary":[6,117],"algorithm":[7,118],"to":[8,44,63,121,127,135],"design":[9,84],"a":[10,14,54,91,103,113,129],"feedback":[11,130],"controller":[12,131],"for":[13,87,132],"dual":[15],"pursuit-evasion":[16],"problem.":[17],"In":[18],"this":[19,77],"problem,":[20],"two":[21],"players,":[22],"Player":[23,26,41,46,59,65,88,99,133,138],"A":[24,42,66,89,134],"and":[25,37,51],"B,":[27],"move":[28],"about":[29],"obstacle-free,":[31],"two-dimensional":[32],"plane":[33],"with":[34],"constant":[35],"speeds":[36],"bounded":[38],"turn":[39],"rates.":[40],"strives":[43],"capture":[45,56,64,137,142],"B":[47,60,139],"by":[48,98],"maneuvering":[49],"behind":[50],"closing":[52],"within":[53],"defined":[55],"distance.":[57],"Simultaneously,":[58],"is":[61,79,110,119],"attempting":[62],"while":[67,140],"avoiding":[68],"being":[69],"captured":[70],"itself.":[71,143],"Although":[72],"general":[74],"form":[75],"problem":[78],"two-sided,":[80],"we":[81],"strategies":[86,96],"against":[90],"collection":[92],"possible":[94],"adversarial":[95],"implemented":[97],"B.":[100],"pose":[102],"nearest":[104],"neighbor":[105],"switching":[106],"control":[107],"structure":[108],"that":[109],"represented":[111],"using":[112],"parameterized":[114],"matrix.":[115],"An":[116],"utilized":[120],"evolve":[122],"these":[123],"parameters":[124],"in":[125],"order":[126],"develop":[128],"efficiently":[136],"evading":[141]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
