Evaluating Design Optimization Models

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dc.contributor.authorHerrmann, Jeffrey W.
dc.date.accessioned2007-07-05T14:41:14Z
dc.date.available2007-07-05T14:41:14Z
dc.date.issued2007-05
dc.description.abstractDesign optimization is an important engineering design activity. Research on design optimization has considered better solution methods as well as novel formulations. Although there exist well-established measures for evaluating solution methods (both exact algorithms and heuristics), attributes for evaluating a design optimization model do not exist. This paper presents a comprehensive approach for evaluating a design optimization model along the following dimensions: scope, variable set, objective function, and model structure. Using these attributes distinguishes design optimization models from each other and helps one locate relevant design optimization models. Moreover, they may lead to a comprehensive classification scheme. Finally, they will be useful for assessing design optimization research.en
dc.format.extent674775 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/7038
dc.language.isoen_USen
dc.relation.isAvailableAtInstitute for Systems Researchen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.relation.ispartofseriesTR_2007-11en
dc.subjectdesign optimizationen
dc.subjectengineering designen
dc.titleEvaluating Design Optimization Modelsen
dc.typeTechnical Reporten

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