Abstract
A Newton approach is proposed for solving variable order smooth constrained vector optimization problems. The concept of strong convexity is presented, and its properties are analyzed. It is thus obtained that the Newton direction is well defined and that the algorithm converges. Moreover, the rate of convergence is obtained under ordering structures satisfying a mild hypothesis.
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Bergstresser, K., Yu, P.L.: Domination structures and multicriteria problems in \(N\)-person games. Theory Decis. 8(1), 5–48 (1977)
Yu, P.L.: Cone convexity, cone extreme points, and nondominated solutions in decision problems with multiobjectives. J. Optim. Theory Appl. 14, 319–377 (1974)
Jahn, J.: Vector optimization. Springer, Berlin (2004)
Ehrgott, M.: Multicriteria optimization, 2nd edn. Springer, Berlin (2005)
Baatar, D., Wiecek, M.M.: Advancing equitability in multiobjective programming. Comput. Math. Appl. 52(1–2), 225–234 (2006)
Engau, A.: Variable preference modeling with ideal-symmetric convex cones. J. Global Optim. 42(2), 295–311 (2008)
Wiecek, M.M.: Advances in cone-based preference modeling for decision making with multiple criteria. Decis. Mak. Manuf. Serv. 1(1–2), 153–173 (2007)
Eichfelder, G.: Optimal elements in vector optimization with a variable ordering structure. J. Optim. Theory Appl. 151(2), 217–240 (2011)
Eichfelder, G., Ha, T.X.D.: Optimality conditions for vector optimization problems with variable ordering structures. Optimization 62(5), 597–627 (2013)
Eichfelder, G.: Variable ordering structures in vector optimization. Vector Optimization. Springer, Heidelberg (2014)
Soleimani, B.: Characterization of approximate solutions of vector optimization problems with a variable order structure. J. Optim. Theory Appl. 162(2), 605–632 (2014)
Soleimani, B., Tammer, C.: Concepts for approximate solutions of vector optimization problems with variable order structures. Vietnam J. Math. 42(4), 543–566 (2014)
Bao, T.Q., Mordukhovich, B.S., Soubeyran, A.: Fixed points and variational principles with applications to capability theory of wellbeing via variational rationality. Set Valued Var. Anal. 23(2), 375–398 (2015)
Bao, T.Q., Mordukhovich, B.S., Soubeyran, A.: Variational analysis in psychological modeling. J. Optim. Theory Appl. 164(1), 290–315 (2015)
Li, X.B., Lin, Z., Peng, Z.Y.: Convergence for vector optimization problems with variable ordering structure. Optimization 65(8), 1615–1627 (2016)
Bello Cruz, J.Y., Bouza Allende, G.: A steepest descent-like method for variable order vector optimization problems. J. Optim. Theory Appl. 162(2), 371–391 (2014)
Fliege, J., Graña Drummond, L.M., Svaiter, B.F.: Newton’s method for multiobjective optimization. SIAM J. Optim. 20(2), 602–626 (2009)
Graña Drummond, L.M., Raupp, F.M.P., Svaiter, B.F.: A quadratically convergent Newton method for vector optimization. Optimization 63(5), 661–677 (2014)
Peressini, A.L.: Ordered topological vector spaces. Harper & Row Publishers, New York, London (1967)
Bertsekas, D.P.: Convex analysis and optimization. Athena Scientific, Belmont (2003)
Miettinen, K.: Nonlinear multiobjective optimization. International Series in Operations Research & Management Science, vol. 12. Kluwer Academic Publishers, Boston (1999)
Carrizo, G.A., Lotito, P.A., Maciel, M.C.: Trust region globalization strategy for the nonconvex unconstrained multiobjective optimization problem. Math. Program. 159(1–2, Ser A), 339–369 (2016)
Villacorta, K.D.V., Oliveira, P.R., Soubeyran, A.: A trust-region method for unconstrained multiobjective problems with applications in satisficing processes. J. Optim. Theory Appl. 160(3), 865–889 (2014)
Acknowledgements
The first author was partially supported by CNPq Grants 458479/2014-4 and 3122077/2014-9, the second author was partially supported by CAPES/FAPEG 10/2013 and 08/2014, and the third author was partially supported by CAPES, CAPES/MES/Cuba Project 226/2012 Optimization and Applications. The second author was also partially supported by Alexander von Humboldt Foundation during his stay at Martin Luther University, where part of this research was carried out.
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de Carvalho Bento, G., Bouza Allende, G. & Pereira, Y.R.L. A Newton-Like Method for Variable Order Vector Optimization Problems. J Optim Theory Appl 177, 201–221 (2018). https://doi.org/10.1007/s10957-018-1236-2
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DOI: https://doi.org/10.1007/s10957-018-1236-2