{"id":"https://openalex.org/W4399658511","doi":"https://doi.org/10.1145/3641584.3641795","title":"A PSOTP Algorithm Based on Static Task Allocation of Neural Network","display_name":"A PSOTP Algorithm Based on Static Task Allocation of Neural Network","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658511","doi":"https://doi.org/10.1145/3641584.3641795"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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/A5013970034","display_name":"Rui Shan","orcid":"https://orcid.org/0000-0002-5870-2131"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Shan","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-5870-2131","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087651381","display_name":"Y. Qin","orcid":"https://orcid.org/0009-0005-0376-6524"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Qin","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0005-0376-6524","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101894342","display_name":"Yun Zhu","orcid":"https://orcid.org/0000-0002-1980-7504"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhu","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-1980-7504","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44995234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1399","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14011","display_name":"Elevator Systems and Control","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7916854619979858},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.660436749458313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6313057541847229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3582313656806946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3016338050365448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08241215348243713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916854619979858},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.660436749458313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6313057541847229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3582313656806946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3016338050365448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08241215348243713},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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":8,"referenced_works":["https://openalex.org/W2075843361","https://openalex.org/W2558448057","https://openalex.org/W3004372080","https://openalex.org/W3159125126","https://openalex.org/W3215217360","https://openalex.org/W4315630325","https://openalex.org/W4320802945","https://openalex.org/W4324137418"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,6,67,74,80,84,93,98,102,107,155,160,167,171,174],"rise":[2],"of":[3,8,15,83,101,113,173],"heterogeneous":[4,12,25,143],"computing,":[5],"problem":[7,85],"task":[9,126],"allocation":[10],"on":[11],"platforms":[13],"consisting":[14],"multiple":[16],"architectures":[17],"has":[18,33],"become":[19],"a":[20,141],"major":[21],"research":[22],"hotspot":[23],"in":[24,36,140],"computing.":[26],"The":[27,111,146],"particle":[28,108,123],"swarm":[29,124],"optimization":[30,125],"(PSO)":[31],"algorithm":[32,95],"good":[34],"performance":[35],"solving":[37,87],"optimal":[38],"problems":[39],"with":[40,166],"strong":[41],"universality":[42],"and":[43,57,170],"fast":[44],"convergence":[45],"speed.":[46],"However,":[47],"different":[48],"initial":[49,81,99],"particles":[50,58,100],"can":[51,72,133,153],"lead":[52],"to":[53,61,96,137,157],"varying":[54],"search":[55,68,109,158,175],"times,":[56],"are":[59],"prone":[60],"falling":[62,118],"into":[63,119],"local":[64,120],"optima":[65],"during":[66],"process.":[69],"Greedy":[70],"algorithms":[71,129,152],"approach":[73],"goal":[75],"faster":[76],"by":[77,163],"starting":[78],"from":[79],"solution":[82],"when":[86],"it.":[88],"Therefore,":[89],"this":[90],"paper":[91],"combines":[92],"greedy":[94],"set":[97],"PSO":[103,168],"algorithm,":[104,169],"which":[105,132],"shortens":[106],"time.":[110],"inclusion":[112],"random":[114],"perturbation":[115],"terms":[116],"avoids":[117],"optima.":[121],"A":[122],"partitioning":[127],"(PSOTP)":[128],"is":[130,177],"designed,":[131],"statically":[134],"allocate":[135],"tasks":[136],"neural":[138],"networks":[139],"CPU-GPU":[142],"computing":[144],"architectures.":[145],"experimental":[147],"results":[148],"show":[149],"that":[150],"PSOTP":[151],"reduce":[154],"time":[156],"for":[159],"best":[161],"scheme":[162,176],"22%":[164],"compared":[165],"accuracy":[172],"higher.":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}