Robustness in multi-objective optimization using evolutionary algorithms
This work discusses robustness assessment during multi-objective optimization with a Multi-Objective Evolutionary Algorithm (MOEA) using a combination of two types of robustness measures. Expectation quantifies simultaneously fitness and robustness, while variance assesses the deviation of the origi...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2008
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/18118 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/18118 |