contributor author | Jin Wu | |
contributor author | Graduate Research Assistant | |
contributor author | Shapour Azarm | |
date accessioned | 2017-05-09T00:05:34Z | |
date available | 2017-05-09T00:05:34Z | |
date copyright | March, 2001 | |
date issued | 2001 | |
identifier issn | 1050-0472 | |
identifier other | JMDEDB-27689#18_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/125650 | |
description abstract | In 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set | |
type | Journal Paper | |
journal volume | 123 | |
journal issue | 1 | |
journal title | Journal of Mechanical Design | |
identifier doi | 10.1115/1.1329875 | |
journal fristpage | 18 | |
journal lastpage | 25 | |
identifier eissn | 1528-9001 | |
keywords | Design | |
keywords | Optimization AND Pareto optimization | |
tree | Journal of Mechanical Design:;2001:;volume( 123 ):;issue: 001 | |
contenttype | Fulltext | |