- Tytuł:
- Interactive evolutionary multiobjective optimization driven by robust ordinal regression
- Autorzy:
-
Branke, J.
Greco, S.
Słowiński, R.
Zielniewicz, P. - Tematy:
-
evolutionary multiobjective optimization
interactive procedure
robust ordinal regression - Pokaż więcej
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Powiązania:
- https://bibliotekanauki.pl/articles/200702.pdf Link otwiera się w nowym oknie
- Opis:
- This paper presents the Necessary-preference-enhanced Evolutionary Multiobjective Optimizer (NEMO), which combines an evolutionary multiobjective optimization with robust ordinal regression within an interactive procedure. In the course of NEMO, the decision maker is asked to express preferences by simply comparing some pairs of solutions in the current population. The whole set of additive value functions compatible with this preference information is used within a properly modified version of the evolutionary multiobjective optimization technique NSGA-II in order to focus the search towards solutions satisfying the preferences of the decision maker. This allows to speed up convergence to the most preferred region of the Pareto-front.
- Dostawca treści:
- Biblioteka Nauki
Artykuł