{"id":"https://openalex.org/W1974266564","doi":"https://doi.org/10.1145/2576768.2598267","title":"Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution","display_name":"Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W1974266564","doi":"https://doi.org/10.1145/2576768.2598267","mag":"1974266564"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","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/A5063064892","display_name":"Chuanbin Zhang","orcid":"https://orcid.org/0000-0003-4950-7075"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuan-Bin Zhang","raw_affiliation_strings":["Sun Yat-sen Univerisity, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univerisity, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063438356","display_name":"Yue\u2010Jiao Gong","orcid":"https://orcid.org/0000-0002-5648-1160"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Jiao Gong","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338367","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0001-9569-9173"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Jing Li","raw_affiliation_strings":["South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077943592","display_name":"Ying Lin","orcid":"https://orcid.org/0000-0003-4141-1490"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Lin","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063064892"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.55368082,"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":"89","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/motion-planning","display_name":"Motion planning","score":0.7164962291717529},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6822500228881836},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6541568040847778},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6084179878234863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5696247220039368},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5688925385475159},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5189637541770935},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4914032220840454},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4493758976459503},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.41602838039398193},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3264274299144745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2570996582508087},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19795331358909607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19758912920951843}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7164962291717529},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6822500228881836},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6541568040847778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6084179878234863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5696247220039368},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5688925385475159},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5189637541770935},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4914032220840454},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4493758976459503},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.41602838039398193},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3264274299144745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2570996582508087},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19795331358909607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19758912920951843},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W101508493","https://openalex.org/W1574178670","https://openalex.org/W1595159159","https://openalex.org/W2014940604","https://openalex.org/W2021680031","https://openalex.org/W2028031385","https://openalex.org/W2077831477","https://openalex.org/W2106086387","https://openalex.org/W2112724282","https://openalex.org/W2113023534","https://openalex.org/W2123066915","https://openalex.org/W2124436273","https://openalex.org/W2127130980","https://openalex.org/W2146500120","https://openalex.org/W2152195021","https://openalex.org/W2162145193"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,51,61,117],"path":[4,76,127],"planner":[5],"for":[6,125,170],"autonomous":[7],"underwater":[8,13,18],"vehicles":[9],"(AUVs)":[10],"in":[11,66],"3-D":[12],"space.":[14,69],"We":[15],"simulate":[16],"an":[17],"space":[19,39],"with":[20,85],"rugged":[21],"seabed":[22],"and":[23,45,96,142,174],"suspending":[24],"obstacles,":[25],"which":[26],"is":[27,40,48,80,102,114,168],"close":[28],"to":[29,104,121,139,150],"real":[30],"world.":[31],"In":[32,129],"the":[33,37,67,74,78,91,106,126,134,143,165],"proposed":[34,166],"representation":[35],"scheme,":[36],"problem":[38,68],"decomposed":[41],"into":[42,89],"parallel":[43,146],"subspaces":[44,147],"each":[46],"subspace":[47],"described":[49],"by":[50],"grid":[52],"method.":[53],"The":[54,161],"paths":[55],"of":[56,63,77,99,108,136,145],"AUVs":[57],"are":[58,155],"simplified":[59],"as":[60,116,149],"set":[62],"successive":[64],"points":[65],"By":[70],"jointing":[71],"these":[72],"waypoints,":[73],"entire":[75],"AUV":[79],"obtained.":[81],"A":[82],"cost":[83],"function":[84],"penalty":[86],"method":[87],"takes":[88],"account":[90],"length,":[92],"energy":[93],"consumption,":[94],"safety":[95],"curvature":[97],"constraints":[98],"AUVs.":[100],"It":[101],"applied":[103],"evaluate":[105],"quality":[107,173],"paths.":[109],"Differential":[110],"evolution":[111],"(DE)":[112],"algorithm":[113,167],"used":[115],"black-box":[118],"optimization":[119],"tool":[120],"provide":[122],"optimal":[123],"solutions":[124],"planning.":[128],"addition,":[130],"we":[131],"adaptively":[132],"adjust":[133],"parameters":[135],"DE":[137],"according":[138],"population":[140],"distribution":[141],"blockage":[144],"so":[148],"improve":[151],"its":[152],"performance.":[153],"Experiments":[154],"conducted":[156],"on":[157],"6":[158],"different":[159],"scenarios.":[160],"results":[162],"validate":[163],"that":[164],"effective":[169],"improving":[171],"solution":[172],"avoiding":[175],"premature":[176],"convergence.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}