Building a knowledge based simulation optimization system with discovery learning

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dc.contributor.authorSiochi, Fernando C.en
dc.contributor.committeechairRees, Loren P.en
dc.contributor.committeememberClayton, Edward R.en
dc.contributor.committeememberMatheson, Lance A.en
dc.contributor.committeememberRagsdale, Cliff T.en
dc.contributor.committeememberRakes, Terry R.en
dc.contributor.departmentManagement Scienceen
dc.date.accessioned2014-03-14T21:12:44Zen
dc.date.adate2008-06-06en
dc.date.available2014-03-14T21:12:44Zen
dc.date.issued1995en
dc.date.rdate2008-06-06en
dc.date.sdate2008-06-06en
dc.description.abstractSimulation optimization is a developing research area whereby a set of input conditions is sought that produce a desirable output (or outputs) to a simulation model. Although many approaches to simulation optimization have been developed, the research area is by no means mature. This research makes three contributions in the area of simulation optimization. The first is fundamental in that it examines simulation outputs, called "response surfaces," and notes their behavior. In particular both point and region estimates are studied for different response surfaces: Conclusions are developed that indicate when and where simulation-optimization techniques such as Response Surface Methodology should be applied. The second contribution provides assistance in selecting a region to begin a simulation-optimization search. The new method is based upon the artificial intelligence based approach best-first search. Two examples of the method are given. The final contribution of this research expands upon the ideas by Crouch for building a "Learner" to improve heuristics in simulation over time. The particular case of parameter-modification learning is developed and illustrated by example. The dissertation concludes with limitations and suggestions for future work.en
dc.description.degreePh. D.en
dc.format.extentxvi, 225 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06062008-155425en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06062008-155425/en
dc.identifier.urihttp://hdl.handle.net/10919/38117en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1995.S563.pdfen
dc.relation.isformatofOCLC# 34306739en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectexpert systemsen
dc.subjectbest-first searchen
dc.subject.lccLD5655.V856 1995.S563en
dc.titleBuilding a knowledge based simulation optimization system with discovery learningen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineManagement Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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