摘要
Wepresentasimulationrunallocationschemeforimprovingefficiencyinsimulationexperimentsfordecisionmakingunderuncertainty.ThisschemeiscalledOptimalComputingBudgetAllocation(OCBA).OCBAadvancesthestate-of-the-artbyintelligentlyallocatingacomputingbudgettothecandidatealternativesunderevaluation.Thebasicideaistospendlesscomputationaleffortonsimulatingnon-criticalalternativestosavecomputationcost.Inparticular,OCBAisemployedtointelligentlyprovidethesmallestnumberofsimulationrunsforadesiredaccuracy.Inthispaper,wepresentanewandmoregeneralOCBAschemewhichcanconsidercasesthatusersareinterestednotonlythebestdesign,butalsoanyoneinagooddesignset.Inaddition,thispaperalsopresentstheapplicationofourOCBAtoadesignprobleminUSairtrafficmanagement.ThenationalairtrafficsysteminUSismodeledasalarge,complex,andstochasticnetwork.Thenumericalexamplesshowthatthecomputationtimecanbereducedby54%to88%withtheuseofOCBA.
出版日期
2005年01月11日（中国期刊网平台首次上网日期，不代表论文的发表时间）
