Cone characterizations of approximate solutions in real vector optimization

A. Engau; M. M. Wiecek

doi:10.1007/s10957-007-9235-8

Cone characterizations of approximate solutions in real vector optimization

A. Engau, M. M. Wiecek

Résultat de recherche: Article › examen par les pairs

24 Citations (Scopus)

Résumé

Approximate nondominated solutions of real vector optimization problems are characterized using the concept of translated cones. Relationships between these solutions and Pareto nondominated points are examined, and the problem of optimizing over the set of approximate solutions is addressed.

Langue d'origine	English
Pages (de-à)	499-513
Nombre de pages	15
Journal	Journal of Optimization Theory and Applications
Volume	134
Numéro de publication	3
DOI	https://doi.org/10.1007/s10957-007-9235-8
Statut de publication	Published - sept. 2007
Publié à l'externe	Oui

Note bibliographique

Funding Information:
This research was supported by the National Science Foundation, Grant DMS-0425768, and by the Automotive Research Center, a US Army TACOM Center of Excellence for Modeling and Simulation of Ground Vehicles at the University of Michigan

ASJC Scopus Subject Areas

Control and Optimization
Management Science and Operations Research
Applied Mathematics

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10.1007/s10957-007-9235-8

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Cone characterizations of approximate solutions in real vector optimization

Résumé

Note bibliographique

ASJC Scopus Subject Areas

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