A proximal point method for difference of convex functions in multi-objective optimization with application to group dynamic problems

We consider the constrained multi-objective optimization problem of finding Pareto critical points of difference of convex functions. The new approach proposed by Bento et al. (SIAM J Optim 28:1104–1120, 2018) to study the convergence of the proximal point method is applied. Our method minimizes at...

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Veröffentlicht in:	Computational optimization and applications Jg. 75; H. 1; S. 263 - 290
Hauptverfasser:	de Carvalho Bento, Glaydston, Bitar, Sandro Dimy Barbosa, da Cruz Neto, João Xavier, Soubeyran, Antoine, de Oliveira Souza, João Carlos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2020 Springer Nature B.V Springer Verlag
Schlagworte:	Ascent Convex analysis Convex and Discrete Geometry Critical point Economics and Finance Goal programming Group dynamics Humanities and Social Sciences Iterative methods Management Science Mathematical analysis Mathematics Mathematics and Statistics Multiple objective analysis Operations Research Operations Research/Decision Theory Optimization Pareto optimization Statistics Multi-objective programming Behavioral sciences Proximal point method DC function Variational rationality
ISSN:	0926-6003, 1573-2894
Online-Zugang:	Volltext
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