{"id":"https://openalex.org/W4405306410","doi":"https://doi.org/10.1109/dtpi61353.2024.10778719","title":"A Two-Stage Genetic Algorithm based Task Allocation Approach for Dependency-aware Spatial Crowdsourcing","display_name":"A Two-Stage Genetic Algorithm based Task Allocation Approach for Dependency-aware Spatial Crowdsourcing","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405306410","doi":"https://doi.org/10.1109/dtpi61353.2024.10778719"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi61353.2024.10778719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111492600","display_name":"Yunkai Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunkai Dai","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101420527","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-8420-0135"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427431","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0003-3503-2291"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047135289","display_name":"Wei Duan","orcid":"https://orcid.org/0000-0002-9306-7161"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Duan","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9247000217437744,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9240999817848206,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8221814632415771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7589102387428284},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7533842325210571},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.639227032661438},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5490720868110657},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5292263031005859},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38124048709869385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3121965229511261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30295467376708984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06438198685646057},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06360563635826111}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8221814632415771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589102387428284},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7533842325210571},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.639227032661438},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5490720868110657},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5292263031005859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38124048709869385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3121965229511261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30295467376708984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06438198685646057},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06360563635826111},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi61353.2024.10778719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2059618043","https://openalex.org/W2272252781","https://openalex.org/W2516948806","https://openalex.org/W2517236807","https://openalex.org/W2756319556","https://openalex.org/W2790693132","https://openalex.org/W2998503178","https://openalex.org/W3029294482","https://openalex.org/W3039856838","https://openalex.org/W4220723134","https://openalex.org/W4293066579","https://openalex.org/W4312183606","https://openalex.org/W4321014257","https://openalex.org/W4379780929","https://openalex.org/W4387358533"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"The":[0,130,195],"widespread":[1],"use":[2],"of":[3,15,24,49,61,82,107,168,201],"smart":[4],"devices":[5],"and":[6,27,97,124,171,183,193],"efficient":[7],"wireless":[8],"network":[9],"transmission":[10],"has":[11,37],"fostered":[12],"the":[13,22,34,46,50,59,79,105,111,119,125,134,143,160,166,179,199],"development":[14],"crowdsourcing":[16,32],"systems,":[17],"providing":[18],"vast":[19],"data":[20],"for":[21,68],"advancement":[23],"digital":[25],"twins":[26],"parallel":[28],"intelligence.":[29],"For":[30],"a":[31,42,99,147,173],"system,":[33],"task":[35],"allocation":[36,60,80,106,175],"been":[38],"proven":[39],"to":[40,77,103,137,151,155,187],"have":[41],"crucial":[43],"influence":[44],"on":[45,159],"overall":[47],"performance":[48],"system.":[51],"However,":[52],"there":[53],"are":[54],"few":[55],"previous":[56],"works":[57],"addressing":[58],"complex":[62,83,87],"tasks,":[63],"resulting":[64],"in":[65,71],"inadequate":[66],"capacity":[67],"such":[69],"tasks":[70,84,88],"crowd-sourcing":[72],"systems.":[73],"This":[74],"paper":[75],"aims":[76],"solve":[78],"problem":[81],"by":[85],"dividing":[86],"into":[89],"several":[90],"subtasks":[91],"with":[92],"dependency":[93],"relationships":[94],"among":[95],"them":[96],"employing":[98],"two-stage":[100],"genetic":[101,135],"algorithm":[102,136,182,186],"optimize":[104],"each":[108,156],"subtask.":[109],"Specifically,":[110],"optimization":[112,122,128],"process":[113],"contains":[114],"two":[115,189],"iterative":[116],"stages":[117],":":[118],"subtask":[120,140,157,161],"sequence":[121],"stage":[123,132,145],"user-subtask":[126,169],"matching":[127,170],"stage.":[129],"former":[131],"uses":[133],"explore":[138],"different":[139],"sequences,":[141],"while":[142],"latter":[144],"employs":[146],"sequential":[148],"decision-making":[149],"approach":[150],"assign":[152],"appropriate":[153],"users":[154],"based":[158],"sequence.":[162],"To":[163],"further":[164],"improve":[165],"efficiency":[167],"obtain":[172],"better":[174],"scheme,":[176],"we":[177],"combine":[178],"tabu":[180],"search":[181],"simulated":[184],"annealing":[185],"form":[188],"variant":[190],"algorithms:":[191],"GA2S-TS":[192],"GA2S-SA.":[194],"experimental":[196],"results":[197],"verify":[198],"effectiveness":[200],"our":[202],"proposed":[203],"algorithms.":[204]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}