Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/26415
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Deb, Kalyanmoy | - |
dc.contributor.author | Bandaru, Sunith | - |
dc.contributor.author | Greiner, David | - |
dc.contributor.author | Gaspar-Cunha, A. | - |
dc.contributor.author | Tutum, Cem Celal | - |
dc.date.accessioned | 2013-11-28T13:35:30Z | - |
dc.date.available | 2013-11-28T13:35:30Z | - |
dc.date.issued | 2014-02 | - |
dc.identifier.issn | 1568-4946 | por |
dc.identifier.uri | https://hdl.handle.net/1822/26415 | - |
dc.description | Available online 31 October 2013 | por |
dc.description.abstract | Computational optimization methods are most often used to find a single or multiple optimal or near-optimal solutions to the underlying optimization problem describing the problem at hand. In this paper, we elevate the use of optimization to a higher level in arriving at useful problem knowledge associated with the optimal or near-optimal solutions to a problem. In the proposed innovization process, first a set of trade-off optimal or near-optimal solutions are found using an evolutionary algorithm. Thereafter, the trade-off solutions are analyzed to decipher useful relationships among problem entities automatically so as to provide a better understanding of the problem to a designer or a practitioner. We provide an integrated algorithm for the innovization process and demonstrate the usefulness of the procedure to three real-world engineering design problems. New and innovative design principles obtained in each case should clearly motivate engineers and practitioners for its further application to more complex problems and its further development as a more efficient data analysis procedure. | por |
dc.description.sponsorship | The first two authors acknowledge the financial support provided by Academy of Finland Grant 133387. The second author also acknowledges the support provided by Department of Electrical and Computer Engineering at Michigan State University.The third author acknowledges Orlando Maeso and Juan J. Aznarez (SIANI, Universidad de Las Palmas de GC) for providing the acoustic modeling BEM software used to perform the calculations. Also the financial support provided in part by the research project UNLP08-3E.2010 of Secretaria de Estado de Universidades e Investigacion, Ministerio de Ciencia e Innovacin (Spain) and FEDER is greatly appreciated. | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier 1 | por |
dc.rights | openAccess | por |
dc.subject | Multi-objective optimization | por |
dc.subject | Innovization | por |
dc.subject | Design principles | por |
dc.subject | Extrusion process | por |
dc.subject | Noise barrier | por |
dc.subject | optimizationFriction stir weldinga | por |
dc.subject | Noise barrier optimization | por |
dc.subject | Friction stir welding | por |
dc.title | An integrated approach to automated innovization for discovering useful design principles : case studies from engineering | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1568494613003451 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 42 | por |
oaire.citationEndPage | 56 | por |
oaire.citationIssue | 2 | por |
oaire.citationTitle | Applied soft computing | por |
oaire.citationVolume | 15 | por |
dc.identifier.doi | 10.1016/j.asoc.2013.10.011 | - |
dc.subject.wos | Science & Technology | por |
sdum.journal | Applied Soft Computing | por |
Aparece nas coleções: | IPC - Artigos em revistas científicas internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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FINAL_PUB.pdf | 2,26 MB | Adobe PDF | Ver/Abrir |