Stage-oe-small.jpg

Inproceedings3417: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
 
Zeile 13: Zeile 13:
 
{{Inproceedings
 
{{Inproceedings
 
|Referiert=True
 
|Referiert=True
 +
|BibTex-ID=shukla2014interrelationships
 
|Title=On the Interrelationships Between Knees and Aggregate Objective Functions
 
|Title=On the Interrelationships Between Knees and Aggregate Objective Functions
 
|Year=2014
 
|Year=2014
|Booktitle=GECCO 2014
+
|Booktitle=Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion
 +
|Pages=95-96
 
|Publisher=ACM
 
|Publisher=ACM
|Volume=in press
+
|Address=New York, NY, USA
 +
|Series=GECCO Comp '14
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
Zeile 24: Zeile 27:
  
 
This paper examines the theoretical relationships between two knee concepts and aggregate objective functions methods. The changes in the fitness landscape by utilizing different aggregations is also discussed.
 
This paper examines the theoretical relationships between two knee concepts and aggregate objective functions methods. The changes in the fitness landscape by utilizing different aggregations is also discussed.
 +
|Link=http://doi.acm.org/10.1145/2598394.2598483
 +
|DOI Name=10.1145/2598394.2598483
 
|Forschungsgruppe=Effiziente Algorithmen
 
|Forschungsgruppe=Effiziente Algorithmen
 
}}
 
}}

Aktuelle Version vom 15. April 2015, 14:03 Uhr


On the Interrelationships Between Knees and Aggregate Objective Functions


On the Interrelationships Between Knees and Aggregate Objective Functions



Published: 2014

Buchtitel: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion
Reihe: GECCO Comp '14
Seiten: 95-96
Verlag: ACM
Erscheinungsort: New York, NY, USA

Referierte Veröffentlichung

BibTeX

Kurzfassung
Optimizing several objectives that are often at odds with each other provides difficult challenges that are not encountered if having only one goal at hand. One intuitive way to solve a multi-objective problem is to aggregate the objectives and reformulate it as an optimization problem having just a single goal. This goal can be a designer specific aggregation of the objectives or a characterization of knees, trade-offs, utilities, stronger optimality concepts or preferences.

This paper examines the theoretical relationships between two knee concepts and aggregate objective functions methods. The changes in the fitness landscape by utilizing different aggregations is also discussed.

Weitere Informationen unter: Link
DOI Link: 10.1145/2598394.2598483



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Evolutionäre Algorithmen, Multikriterielle Optimierung, Globale Optimierung