{"id":"https://openalex.org/W4389780868","doi":"https://doi.org/10.1145/3627341.3630400","title":"An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance","display_name":"An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4389780868","doi":"https://doi.org/10.1145/3627341.3630400"},"language":"en","primary_location":{"id":"doi:10.1145/3627341.3630400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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":null,"display_name":"Ya-Hong Zhao","orcid":"https://orcid.org/0009-0005-3698-1562"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya-Hong Zhao","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China"],"raw_orcid":"https://orcid.org/0009-0005-3698-1562","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061571502","display_name":"Yulin Lan","orcid":"https://orcid.org/0000-0003-0434-1980"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Lin Lan","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China"],"raw_orcid":"https://orcid.org/0000-0003-0434-1980","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062498368","display_name":"Shang-Lin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang-Lin Li","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China"],"raw_orcid":"https://orcid.org/0000-0003-0252-5292","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042616230","display_name":"Wenfen Zhang","orcid":"https://orcid.org/0000-0002-8217-1799"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Fen Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China"],"raw_orcid":"https://orcid.org/0000-0002-8217-1799","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Xiangnan University, China and \rHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, China","institution_ids":["https://openalex.org/I43081956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43081956"],"apc_list":null,"apc_paid":null,"fwci":0.1177,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44474172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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":1.0,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9972000122070312,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9930999875068665,"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/crossover","display_name":"Crossover","score":0.8784136772155762},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.7904592156410217},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.740053117275238},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.719465434551239},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6734649538993835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627090573310852},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5537011623382568},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5531463027000427},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5338593125343323},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49475353956222534},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44591736793518066},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4106886684894562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33506226539611816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2705118656158447},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.18978667259216309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17584288120269775},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09220993518829346},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.08997508883476257}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8784136772155762},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.7904592156410217},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.740053117275238},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.719465434551239},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6734649538993835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627090573310852},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5537011623382568},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5531463027000427},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5338593125343323},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49475353956222534},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44591736793518066},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4106886684894562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33506226539611816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2705118656158447},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.18978667259216309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17584288120269775},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09220993518829346},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.08997508883476257},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627341.3630400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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":14,"referenced_works":["https://openalex.org/W2999963885","https://openalex.org/W3016657056","https://openalex.org/W3025493413","https://openalex.org/W3038089944","https://openalex.org/W3045631220","https://openalex.org/W3122622378","https://openalex.org/W3124511745","https://openalex.org/W3184846191","https://openalex.org/W3216605038","https://openalex.org/W3217726165","https://openalex.org/W4213439636","https://openalex.org/W4297799136","https://openalex.org/W4315473486","https://openalex.org/W4366377631"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W2155948905","https://openalex.org/W3043170174","https://openalex.org/W1971413691","https://openalex.org/W2050548713","https://openalex.org/W2153702122"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV),":[3],"with":[4,61,143],"high":[5],"efficiency,":[6],"low":[7],"manpower":[8],"costs,":[9],"and":[10,115,131],"flexible":[11],"convenience,":[12],"has":[13],"attracted":[14],"widespread":[15],"attention":[16],"in":[17,26,57,89,94,137],"logistics.":[18],"UAV":[19,49,70,140],"trajectory":[20,141],"planning":[21,51,72,142],"is":[22,31,101],"an":[23,32],"essential":[24],"component":[25],"this":[27],"context.":[28],"Genetic":[29],"algorithm(GA)":[30],"effective":[33],"tool":[34],"for":[35,48,92,127,134,139],"solving":[36],"complex":[37,58],"route":[38],"optimization":[39],"problems.":[40],"However,":[41],"selecting":[42,90],"the":[43,86,106],"optimal":[44,128],"combination":[45],"of":[46,108,112],"parameters":[47,91],"path":[50,71],"remains":[52],"a":[53,67,79,97],"challenging":[54],"problem,":[55],"especially":[56],"urban":[59],"environments":[60],"numerous":[62],"obstacles.":[63],"This":[64],"paper":[65],"proposes":[66],"genetic":[68],"algorithm-based":[69],"approach(UAV_GA)":[73],"that":[74],"considers":[75],"obstacle":[76,144],"avoidance":[77],"on":[78,118],"two-dimensional":[80],"grid-based":[81],"map.":[82],"Furthermore,":[83],"to":[84,123],"investigate":[85],"general":[87],"patterns":[88,126],"GA":[93,138],"such":[95],"problems,":[96],"comprehensive":[98],"empirical":[99],"study":[100,104],"conducted.":[102],"The":[103],"analyzes":[105],"effects":[107],"population":[109],"size,":[110],"number":[111],"iterations,":[113],"crossover,":[114],"mutation":[116],"probabilities":[117],"algorithm":[119],"performance.":[120],"It":[121],"aims":[122],"identify":[124],"universal":[125],"parameter":[129,135],"combinations":[130],"provide":[132],"guidance":[133],"selection":[136],"avoidance.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
