{"id":"https://openalex.org/W4251261870","doi":"https://doi.org/10.1109/wsc.2013.6721489","title":"Cumulative weighting optimization: The discrete case","display_name":"Cumulative weighting optimization: The discrete case","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W4251261870","doi":"https://doi.org/10.1109/wsc.2013.6721489"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2013.6721489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721489","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","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/A5055705345","display_name":"Kin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kin Lin","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013807415","display_name":"Steven I. Marcus","orcid":"https://orcid.org/0000-0002-4926-9567"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven I. Marcus","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055705345"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48031496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"992","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.33869999647140503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.33869999647140503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.29649999737739563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6740338802337646},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6729425191879272},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5336153507232666},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.5178166031837463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046449899673462},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4823702871799469},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47262856364250183},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4704688489437103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47029611468315125},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4576380252838135},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.4426743984222412},{"id":"https://openalex.org/keywords/cumulative-prospect-theory","display_name":"Cumulative prospect theory","score":0.43896111845970154},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3487603962421417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1345786154270172}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6740338802337646},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6729425191879272},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5336153507232666},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.5178166031837463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046449899673462},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4823702871799469},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47262856364250183},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4704688489437103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47029611468315125},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4576380252838135},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.4426743984222412},{"id":"https://openalex.org/C2779449553","wikidata":"https://www.wikidata.org/wiki/Q5194187","display_name":"Cumulative prospect theory","level":3,"score":0.43896111845970154},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3487603962421417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1345786154270172},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2013.6721489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721489","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W126670175","https://openalex.org/W200204928","https://openalex.org/W576681630","https://openalex.org/W1543651123","https://openalex.org/W1601036473","https://openalex.org/W1972745202","https://openalex.org/W2009453719","https://openalex.org/W2041946752","https://openalex.org/W2100667036","https://openalex.org/W2122131925","https://openalex.org/W3011865677","https://openalex.org/W4241520265"],"related_works":["https://openalex.org/W3121965551","https://openalex.org/W2917634426","https://openalex.org/W2941866119","https://openalex.org/W2792368695","https://openalex.org/W2029767522","https://openalex.org/W2516042901","https://openalex.org/W3152310311","https://openalex.org/W1587096552","https://openalex.org/W2243595037","https://openalex.org/W2393910018"],"abstract_inverted_index":{"Global":[0],"optimization":[1,130],"problems":[2],"are":[3,15,29,56],"relevant":[4],"in":[5],"many":[6,16],"fields":[7],"(e.g.,":[8],"control":[9],"systems,":[10],"operations":[11],"research,":[12],"economics).":[13],"There":[14],"approaches":[17],"to":[18,52,59,80,110,112],"solving":[19,128],"these":[20],"problems.":[21,131],"One":[22],"particular":[23],"approach":[24],"is":[25,50,138],"model-based":[26,37,100],"methods,":[27],"which":[28,86,106],"a":[30,73,123,139],"class":[31],"of":[32,76,90,142],"random":[33],"search":[34],"methods.":[35],"A":[36],"method":[38,137],"iteratively":[39],"updates":[40],"its":[41],"probability":[42,91],"density":[43,92],"function.":[44],"At":[45],"each":[46],"step,":[47],"additional":[48],"weight":[49],"given":[51],"solution":[53],"subspaces":[54],"that":[55],"more":[57],"likely":[58],"yield":[60],"an":[61,98,113],"optimal":[62,114],"objective":[63],"value.":[64],"Model-based":[65],"methods":[66],"can":[67,107],"be":[68,108],"analyzed":[69],"by":[70],"writing":[71],"down":[72],"corresponding":[74],"system":[75],"differential":[77],"equations":[78],"similar":[79],"the":[81,88,133],"well":[82],"known":[83],"Fokker-Planck":[84],"equation,":[85],"models":[87],"evolution":[89],"functions":[93],"for":[94,127],"diffusions.":[95],"We":[96],"propose":[97],"innovative":[99],"method,":[101],"Cumulative":[102],"Weighting":[103],"Optimization":[104],"(CWO),":[105],"proven":[109],"converge":[111],"solution.":[115],"Using":[116],"this":[117,143],"rigorous":[118],"theoretical":[119],"foundation,":[120],"we":[121],"design":[122],"CWO-based":[124,144],"numerical":[125],"algorithm":[126],"global":[129],"Interestingly,":[132],"well-known":[134],"cross-entropy":[135],"(CE)":[136],"special":[140],"case":[141],"algorithm.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
