Pareto solutions as limits of collective traps: an inexact multiobjective proximal point algorithm
Glaydston Carvalho Bento,
João Xavier da Cruz Neto,
L. Meireles and
Antoine Soubeyran
Additional contact information
Glaydston Carvalho Bento: UFG - Universidade Federal de Goiás [Goiânia]
João Xavier da Cruz Neto: UFPI - Universidade Federal do Piauí
L. Meireles: IFGOIANO - Instituto Federal Goiano = Goiano Federal Institute
Post-Print from HAL
Abstract:
In this paper we introduce a definition of approximate Pareto efficient solution as well as a necessary condition for such solutions in the multiobjective setting on Riemannian manifolds. We also propose an inexact proximal point method for nonsmooth multiobjective optimization in the Riemannian context by using the notion of approximate solution. The main convergence result ensures that each cluster point (if any) of any sequence generated by the method is a Pareto critical point. Furthermore, when the problem is convex on a Hadamard manifold, full convergence of the method for a weak Pareto efficient solution is obtained. As an application, we show how a Pareto critical point can be reached as a limit of traps in the context of the variational rationality approach of stay and change human dynamics.
Keywords: Multiobjective proximal method; Riemannian manifold; Approximate solution; Variational rationality; Worthwhile moveTrap (search for similar items in EconPapers)
Date: 2022-09
Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03680291
References: Add references at CitEc
Citations:
Published in Annals of Operations Research, 2022, 316 (2), pp.1425-1443. ⟨10.1007/s10479-022-04719-y⟩
Downloads: (external link)
https://amu.hal.science/hal-03680291/document (application/pdf)
Related works:
Journal Article: Pareto solutions as limits of collective traps: an inexact multiobjective proximal point algorithm (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03680291
DOI: 10.1007/s10479-022-04719-y
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().