Inproceedings3417: Unterschied zwischen den Versionen
Pz7801 (Diskussion | Beiträge) |
Pz7801 (Diskussion | Beiträge) |
||
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= | + | |Booktitle=Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion |
+ | |Pages=95-96 | ||
|Publisher=ACM | |Publisher=ACM | ||
− | | | + | |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
Evolutionäre Algorithmen, Multikriterielle Optimierung, Globale Optimierung