Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation
dc.contributor.author | Lee, J. | en_US |
dc.contributor.author | Johnson, Glen E. | en_US |
dc.date.accessioned | 2006-04-10T15:37:19Z | |
dc.date.available | 2006-04-10T15:37:19Z | |
dc.date.issued | 1993-09 | en_US |
dc.identifier.citation | Lee, J., Johnson, G. E. (1993/09)."Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation." Computer-Aided Design 25(9): 601-611. <http://hdl.handle.net/2027.42/30612> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6TYR-481DXB6-TW/2/312c669e554c1c182820c2af6964363d | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30612 | |
dc.description.abstract | As is typical of stochastic-optimization problems, the multi-variate integration of the probability-density function is the most difficult task in the optimal allotment of tolerances. In this paper, a truncated Monte Carlo simulation and a genetic algorithm are used as analysis (i.e. multivariate-integration) and synthesis (i.e. optimization) tools, respectively. The new method has performed robustly in limited experiments, and was able to provide a significant reduction in optimal cost when compared with results published in a previous study. | en_US |
dc.format.extent | 895572 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mechanical Engineering | en_US |
dc.subject.hlbsecondlevel | Engineering (General) | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Design Laboratory, University of Michigan, Ann Arbor, MI 48109-2125, USA | en_US |
dc.contributor.affiliationum | Design Laboratory, University of Michigan, Ann Arbor, MI 48109-2125, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30612/1/0000252.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0010-4485(93)90075-Y | en_US |
dc.identifier.source | Computer-Aided Design | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.