{"id":"https://openalex.org/W2137569604","doi":"https://doi.org/10.1109/scis.2009.4927008","title":"Using memory models to improve adaptive efficiency in dynamic problems","display_name":"Using memory models to improve adaptive efficiency in dynamic problems","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2137569604","doi":"https://doi.org/10.1109/scis.2009.4927008","mag":"2137569604"},"language":"en","primary_location":{"id":"doi:10.1109/scis.2009.4927008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis.2009.4927008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence in Scheduling","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/A5059293285","display_name":"Gregory J. Barlow","orcid":"https://orcid.org/0000-0003-3161-0541"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory J. Barlow","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043058554","display_name":"Stephen F. Smith","orcid":"https://orcid.org/0000-0002-7053-3166"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen F. Smith","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7853,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93525336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3907","issue":null,"first_page":"7","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9807000160217285,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9807000160217285,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9745000004768372,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9470999836921692,"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":0.8040462732315063},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6408085823059082},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6167827844619751},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.474383145570755},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47410115599632263},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35171520709991455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3494933247566223},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3407062292098999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09896194934844971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040462732315063},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6408085823059082},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6167827844619751},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.474383145570755},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47410115599632263},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35171520709991455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3494933247566223},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3407062292098999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09896194934844971},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/scis.2009.4927008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis.2009.4927008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence in Scheduling","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.145.1135","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.1135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~gjb/includes/publications/conference/barlow2009-cisched/barlow2009-cisched.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4300000071525574,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W51995356","https://openalex.org/W1486023352","https://openalex.org/W1519594794","https://openalex.org/W1519835516","https://openalex.org/W1540706608","https://openalex.org/W1553457851","https://openalex.org/W1573621399","https://openalex.org/W1595831395","https://openalex.org/W2101541277","https://openalex.org/W2120053925","https://openalex.org/W2129539033","https://openalex.org/W2137392640","https://openalex.org/W2148458253","https://openalex.org/W2152396762","https://openalex.org/W2160958384","https://openalex.org/W2414365832","https://openalex.org/W6629488148","https://openalex.org/W6630898356","https://openalex.org/W6633112425","https://openalex.org/W6634244985","https://openalex.org/W6675531209"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"problems":[2],"involve":[3],"the":[4,15,73,91,95,103,112,124,153,170,196,203,226,229],"coordination":[5,120],"of":[6,14,44,94,105,110,114,127,152,157,167,173,181,198,228],"multiple":[7],"agents":[8,116],"in":[9,60,72,117,131],"dynamic":[10,63,119],"environments,":[11],"where":[12],"characteristics":[13],"problem":[16,64,126],"being":[17],"solved":[18,147],"change":[19],"over":[20,78,141],"time.":[21,79],"In":[22,98],"such":[23],"problems,":[24],"adaptive,":[25],"self-organizing":[26,115],"agent":[27,96],"approaches":[28,39],"have":[29],"been":[30,145],"shown":[31,208,223],"to":[32,46,48,76,84,137,185,209,224],"provide":[33],"very":[34],"robust":[35],"solutions.":[36],"However,":[37],"these":[38],"often":[40],"require":[41],"non-trivial":[42],"amounts":[43],"time":[45],"respond":[47],"large":[49],"environmental":[50,58],"shifts.":[51],"Considering":[52],"this":[53,86,99,161],"limitation,":[54],"we":[55,101],"observe":[56],"that":[57,134],"changes":[59],"a":[61,108,132,149,165],"given":[62],"are":[65,207,222],"generally":[66],"not":[67],"completely":[68],"random;":[69],"similar":[70],"states":[71],"environment":[74],"tend":[75],"reappear":[77],"Memory":[80],"is":[81,135,192],"one":[82],"way":[83],"leverage":[85],"past":[87],"information":[88],"and":[89,216,220],"improve":[90,225],"adaptive":[92],"efficiency":[93],"system.":[97],"paper,":[100],"explore":[102],"use":[104],"memory":[106,168,176,205,218],"as":[107],"means":[109],"boosting":[111],"performance":[113,227],"solving":[118],"problems.":[121],"We":[122,159],"consider":[123],"specific":[125],"coordinating":[128],"product":[129],"flows":[130],"factory":[133],"subject":[136],"changing":[138],"job":[139],"mixes":[140],"time,":[142],"which":[143,174,194],"has":[144],"previously":[146],"using":[148,199,202],"computational":[150,187],"model":[151],"task":[154,231],"allocation":[155,232],"behavior":[156],"wasps.":[158],"augment":[160],"base":[162],"procedure":[163],"with":[164,213],"number":[166],"systems,":[169],"most":[171],"sophisticated":[172],"exploit":[175],"models":[177,206],"inspired":[178],"by":[179],"estimation":[180],"distribution":[182],"algorithms":[183],"(EDAs)":[184],"manage":[186],"cost.":[188],"An":[189],"experimental":[190],"analysis":[191],"presented":[193],"demonstrates":[195],"advantage":[197],"memory.":[200],"Configurations":[201],"EDA-inspired":[204],"substantially":[210],"outperform":[211],"configurations":[212],"more":[214],"standard":[215],"infinite-sized":[217],"models,":[219],"all":[221],"baseline":[230],"procedure.":[233]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}