Uncertainty on multi-objective optimization problems
In general, parameters in multi-objective optimization are assumed as deterministic with no uncertainty. However, uncertainty in the parameters can affect both variable and objective spaces. The corresponding Pareto optimal fronts, resulting from the disturbed problem, define a cloud of curves. In t...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2011
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/15517 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/15517 |