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contributor authorJin Wu
contributor authorGraduate Research Assistant
contributor authorShapour Azarm
date accessioned2017-05-09T00:05:34Z
date available2017-05-09T00:05:34Z
date copyrightMarch, 2001
date issued2001
identifier issn1050-0472
identifier otherJMDEDB-27689#18_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/125650
description abstractIn this paper, several new set quality metrics are introduced that can be used to evaluate the “goodness” of an observed Pareto solution set. These metrics, which are formulated in closed-form and geometrically illustrated, include hyperarea difference, Pareto spread, accuracy of an observed Pareto frontier, number of distinct choices and cluster. The metrics should enable a designer to either monitor the quality of an observed Pareto solution set as obtained by a multiobjective optimization method, or compare the quality of observed Pareto solution sets as reported by different multiobjective optimization methods. A vibrating platform example is used to demonstrate the calculation of these metrics for an observed Pareto solution set.
publisherThe American Society of Mechanical Engineers (ASME)
titleMetrics for Quality Assessment of a Multiobjective Design Optimization Solution Set
typeJournal Paper
journal volume123
journal issue1
journal titleJournal of Mechanical Design
identifier doi10.1115/1.1329875
journal fristpage18
journal lastpage25
identifier eissn1528-9001
keywordsDesign
keywordsOptimization AND Pareto optimization
treeJournal of Mechanical Design:;2001:;volume( 123 ):;issue: 001
contenttypeFulltext


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