{"id":"https://openalex.org/W2945761060","doi":"https://doi.org/10.1145/3318299.3318310","title":"Chaotic Cuckoo Search Algorithm for Solving Unmanned Combat Aerial Vehicle Path Planning Problems","display_name":"Chaotic Cuckoo Search Algorithm for Solving Unmanned Combat Aerial Vehicle Path Planning Problems","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945761060","doi":"https://doi.org/10.1145/3318299.3318310","mag":"2945761060"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318310","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["College of Information Science and Engineering, Fujian University of Tech., Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Fujian University of Tech., Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113737488","display_name":"Jenn-Long Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenn-Long Liu","raw_affiliation_strings":["Department of Information Management, I-Shou University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010316603","display_name":"Shou-Cheng Hsiung","orcid":null},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shou-Cheng Hsiung","raw_affiliation_strings":["Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2203,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83285307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.991100013256073,"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/T12158","display_name":"Guidance and Control Systems","score":0.9674000144004822,"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/cuckoo-search","display_name":"Cuckoo search","score":0.8245689868927002},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7750128507614136},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7022838592529297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6073206663131714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6040303707122803},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5914709568023682},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5688312649726868},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40384143590927124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22217971086502075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17110851407051086},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.10529398918151855},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.06535392999649048}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.8245689868927002},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7750128507614136},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7022838592529297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6073206663131714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6040303707122803},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5914709568023682},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5688312649726868},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40384143590927124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22217971086502075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17110851407051086},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.10529398918151855},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.06535392999649048},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318310","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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":28,"referenced_works":["https://openalex.org/W194800985","https://openalex.org/W197427742","https://openalex.org/W203676102","https://openalex.org/W1533196493","https://openalex.org/W1879678483","https://openalex.org/W1991224261","https://openalex.org/W2000135657","https://openalex.org/W2000705317","https://openalex.org/W2003342876","https://openalex.org/W2006331237","https://openalex.org/W2039911195","https://openalex.org/W2053911673","https://openalex.org/W2072372183","https://openalex.org/W2075488806","https://openalex.org/W2076014856","https://openalex.org/W2089888607","https://openalex.org/W2143560894","https://openalex.org/W2165299997","https://openalex.org/W2169245194","https://openalex.org/W2239924092","https://openalex.org/W2291460889","https://openalex.org/W2473526392","https://openalex.org/W2774324652","https://openalex.org/W2782136875","https://openalex.org/W2801549487","https://openalex.org/W2963618366","https://openalex.org/W4237950026","https://openalex.org/W4252280335"],"related_works":["https://openalex.org/W1978568284","https://openalex.org/W2102833174","https://openalex.org/W2753354457","https://openalex.org/W2742451303","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3154539612"],"abstract_inverted_index":{"This":[0],"paper":[1],"applies":[2],"an":[3,84],"improved":[4],"Cuckoo":[5],"Search":[6],"algorithm,":[7,11],"named":[8],"Chaotic":[9,60,119,149],"CS":[10,54,61,98,120,150],"to":[12,32,89,105,124],"solve":[13,125],"Unmanned":[14],"Combat":[15],"Aerial":[16],"Vehicle":[17],"(UCAV)":[18],"path":[19,133,160],"planning":[20,134],"problems.":[21],"A":[22],"circle-type":[23],"chaotic":[24,28,75],"map":[25],"for":[26,47,86,139,156],"generating":[27],"sequences":[29,76],"is":[30,122],"used":[31,155],"specify":[33],"the":[34,52,66,74,78,92,118,140,148],"scaling":[35],"factor":[36],"(()":[37],"of":[38,45,58,68,80,131,161],"step":[39],"size":[40],"and":[41,70,102,108],"fraction":[42],"probability":[43],"(pa)":[44],"abandonment":[46],"host":[48],"nests":[49],"formulated":[50],"in":[51,83],"Original":[53],"algorithm.":[55],"The":[56,96,143],"advantage":[57],"using":[59,73],"algorithm":[62,99,121,151],"can":[63,152],"dynamically":[64],"change":[65],"parameters":[67],"(":[69],"pa":[71],"by":[72,112],"over":[77],"course":[79],"iterations,":[81],"resulting":[82],"improvement":[85],"searching":[87],"performance":[88],"find":[90],"out":[91,138],"global":[93],"best":[94],"solution.":[95],"enhanced":[97],"shows":[100],"flexible":[101],"robust":[103],"capabilities":[104],"optimize":[106],"complex":[107,126],"multimodal":[109],"objective":[110],"functions":[111],"evaluating":[113],"standard":[114],"benchmark":[115],"functions.":[116],"Furthermore,":[117],"applied":[123],"design":[127],"problem.":[128],"Two":[129],"scenarios":[130],"UCAV":[132],"problems":[135],"are":[136],"carried":[137],"practical":[141],"applications.":[142],"simulation":[144],"results":[145],"indicate":[146],"that":[147],"efficiently":[153],"be":[154],"computing":[157],"optimal":[158],"flight":[159],"UCAV.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}