Stage-oe-small.jpg

Article3117: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
 
Zeile 19: Zeile 19:
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
|Abstract=This paper deals with the problem of �finding convex bulges on the Pareto-front of a multi-objective optimization problem. The point of maximum bulge is of particular interest as this point shows good trade-off� properties and it is also close to the non-attainable utopia point. Our approach is to use a population based algorithm to simultaneously promote convex bulges and improve the current approximation of the individual minimum of the objectives. This is done by changing the ranking of the solutions, and by proposing a new domination scheme that is used to sort the solutions. Theoretical results characterize the interrelationships between the bulge knee, the weighted sum method, and the guided domination approach.
+
|Abstract=This paper deals with the problem of finding convex bulges on the Pareto-front of a multi-objective optimization problem. The point of maximum bulge is of particular interest as this point shows good trade-off properties and it is also close to the non-attainable utopia point. Our approach is to use a population based algorithm to simultaneously promote convex bulges and improve the current approximation of the individual minimum of the objectives. This is done by changing the ranking of the solutions, and by proposing a new domination scheme that is used to sort the solutions. Theoretical results characterize the interrelationships between the bulge knee, the weighted sum method, and the guided domination approach.
 
|Link=http://www.optimization-online.org/DB_HTML/2015/05/4930.html
 
|Link=http://www.optimization-online.org/DB_HTML/2015/05/4930.html
 
|Forschungsgruppe=Effiziente Algorithmen
 
|Forschungsgruppe=Effiziente Algorithmen

Aktuelle Version vom 16. Juli 2015, 10:51 Uhr


A Theoretical and Algorithmic Characterization of Bulge Knees


A Theoretical and Algorithmic Characterization of Bulge Knees



Veröffentlicht: 2015 Juni

Journal: Optimization Online




Nicht-referierte Veröffentlichung

BibTeX




Kurzfassung
This paper deals with the problem of finding convex bulges on the Pareto-front of a multi-objective optimization problem. The point of maximum bulge is of particular interest as this point shows good trade-off properties and it is also close to the non-attainable utopia point. Our approach is to use a population based algorithm to simultaneously promote convex bulges and improve the current approximation of the individual minimum of the objectives. This is done by changing the ranking of the solutions, and by proposing a new domination scheme that is used to sort the solutions. Theoretical results characterize the interrelationships between the bulge knee, the weighted sum method, and the guided domination approach.

Weitere Informationen unter: Link



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Multikriterielle Optimierung