{"id":"https://openalex.org/W2783831305","doi":"https://doi.org/10.1109/bigdata.2017.8258308","title":"Learning automata based method for solving demand and supply problem with periodic behaviors","display_name":"Learning automata based method for solving demand and supply problem with periodic behaviors","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783831305","doi":"https://doi.org/10.1109/bigdata.2017.8258308","mag":"2783831305"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5078222293","display_name":"Haoye Lu","orcid":"https://orcid.org/0000-0003-0933-2370"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Haoye Lu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769231","display_name":"Anand Srinivasan","orcid":"https://orcid.org/0000-0002-0533-2413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anand Srinivasan","raw_affiliation_strings":["EION Wireless"],"affiliations":[{"raw_affiliation_string":"EION Wireless","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048076896","display_name":"Amiya Nayak","orcid":"https://orcid.org/0000-0002-4605-0500"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amiya Nayak","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078222293"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60053092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3254","last_page":"3260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9983999729156494,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318809032440186},{"id":"https://openalex.org/keywords/learning-automata","display_name":"Learning automata","score":0.7054258584976196},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.6626423597335815},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6493982076644897},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.6106122136116028},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5816247463226318},{"id":"https://openalex.org/keywords/on-demand","display_name":"On demand","score":0.5526806712150574},{"id":"https://openalex.org/keywords/demand-patterns","display_name":"Demand patterns","score":0.42191511392593384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.292485773563385},{"id":"https://openalex.org/keywords/demand-management","display_name":"Demand management","score":0.2556447982788086},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2272612750530243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12450802326202393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318809032440186},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.7054258584976196},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.6626423597335815},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6493982076644897},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.6106122136116028},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5816247463226318},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.5526806712150574},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.42191511392593384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292485773563385},{"id":"https://openalex.org/C179366874","wikidata":"https://www.wikidata.org/wiki/Q1185130","display_name":"Demand management","level":2,"score":0.2556447982788086},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2272612750530243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12450802326202393},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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":11,"referenced_works":["https://openalex.org/W992305374","https://openalex.org/W1579147714","https://openalex.org/W1988277750","https://openalex.org/W1989989024","https://openalex.org/W2044636081","https://openalex.org/W2071460053","https://openalex.org/W2123246083","https://openalex.org/W2569349941","https://openalex.org/W2588903206","https://openalex.org/W2620093294","https://openalex.org/W4235275633"],"related_works":["https://openalex.org/W2143732059","https://openalex.org/W3031225824","https://openalex.org/W179828053","https://openalex.org/W2353398671","https://openalex.org/W2381676792","https://openalex.org/W2155498013","https://openalex.org/W2501030226","https://openalex.org/W2055064128","https://openalex.org/W3020815816","https://openalex.org/W4391054463"],"abstract_inverted_index":{"The":[0,96],"demand":[1,19,89],"and":[2,57,71,102],"supply":[3],"problems":[4],"are":[5,65],"encountered":[6],"widely":[7],"in":[8],"almost":[9],"all":[10],"fields.":[11],"While":[12],"the":[13,22,44,63,68,88],"users":[14],"hope":[15],"to":[16,27,33,38,86],"get":[17],"their":[18],"satisfied":[20],"always,":[21],"suppliers":[23],"do":[24],"not":[25],"want":[26],"produce":[28],"superfluous":[29],"supplies.":[30],"One":[31],"way":[32],"tackle":[34],"this":[35,79],"problem":[36],"is":[37],"have":[39,50],"a":[40,83],"good":[41],"prediction":[42],"on":[43,67],"future":[45],"demand.":[46],"Many":[47],"forecasting":[48],"algorithms":[49,64],"been":[51],"proposed":[52],"by":[53,90],"using":[54],"time":[55],"series":[56],"extrapolation":[58],"techniques.":[59,95],"However,":[60],"most":[61],"of":[62],"based":[66],"complex":[69],"theories":[70],"consume":[72],"potentially":[73],"large":[74],"amount":[75],"computing":[76,106],"resources.":[77,107],"In":[78],"paper,":[80],"we":[81],"propose":[82],"new":[84],"algorithm":[85,97],"predict":[87],"applying":[91],"classical":[92],"learning":[93],"automata":[94],"uses":[98],"more":[99],"concise":[100],"strategies":[101],"consumes":[103],"considerably":[104],"less":[105]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}