Show simple item record

contributor authorFoster, Garrett
contributor authorFerguson, Scott
date accessioned2017-05-09T00:57:13Z
date available2017-05-09T00:57:13Z
date issued2013
identifier issn1530-9827
identifier otherjcise_013_04_041003.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151243
description abstractThe objective of this paper is to demonstrate that unique alternative designs can be efficiently found by searching the discarded data (or graveyard) from a multiobjective genetic algorithm (MOGA). Motivation for using graveyard data to generate design alternatives arises from the computational cost associated with realtime design space exploration of multiobjective optimization problems. The effectiveness of this approach is explored by comparing (1) the uniqueness of alternatives found using graveyard data and those generated using an optimizationbased search, and (2) how alternative generation near the Pareto frontier is impacted. Two multiobjective case study problems are introduced—a two bar truss and an Ibeam design optimization. Results from these studies indicate that using graveyard data allows for the discovery of alternative designs that are at least 70% as unique as alternatives found using an optimizationbased alternative identification approach, while saving a significant number of functional evaluations. Additionally, graveyard data are shown to be better suited for alternative generation near the Pareto frontier than standard sampling techniques. Finally, areas of future work are also discussed.
publisherThe American Society of Mechanical Engineers (ASME)
titleExploring the Effectiveness of Using Graveyard Data When Generating Design Alternatives
typeJournal Paper
journal volume13
journal issue4
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4024913
journal fristpage41003
journal lastpage41003
identifier eissn1530-9827
treeJournal of Computing and Information Science in Engineering:;2013:;volume( 013 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record