Stage-oe-small.jpg

Article3002

Aus Aifbportal
Wechseln zu:Navigation, Suche


A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization


A Levenberg–Marquardt algorithm for unconstrained multicriteria optimization



Veröffentlicht: 2008

Journal: Operations Research Letters
Nummer: 5
Seiten: 643-646
Verlag: Elsevier
Volume: 36


Referierte Veröffentlichung

BibTeX




Kurzfassung
To compute one of the nonisolated Pareto-critical points of an unconstrained multicriteria optimization problem a Levenberg–Marquardt algorithm is applied. Sufficient conditions for an error bound are provided to prove its fast local convergence. A globalized version is shown to converge to a Pareto-optimal point under convexity assumptions.

DOI Link: doi:10.1016/j.orl.2008.02.006



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet