[1] J. Branke, K. Deb, K. Miettinen, R. Sowiski, Multiobjective Optimization Interactive and Evolu-
tionary Approaches, Springer, Berlin, 2008.
[2] R.S. Burachik, C.Y. Kaya, M.M. Rizvi, A new scalarization technique and new algorithms to gen-
erate Pareto fronts, SIAM J. Optim. 27 (2017) 1010–1034.
[3] R.S. Burachik, C. Y. Kaya, M.M. Rizvi, A new scalarization technique to approximate Pareto fronts
of problems with disconnected feasible sets, J. Optim. Theory Appl. 162 (2014) 428–446.
[4] M. Ehrgott, Multicriteria Optimization, Berlin, Springer, 2005.
[5] M. Ehrgott, K. Klamroth, C. Schwehm, An MCDM approach to portfolio optimization, Eur. J. Oper.
Res. 155 (2004) 752–770.
[6] M. Ehrgott, S. Ruzika, Improved ε-constraint method for multiobjective programming, J. Optim.
Theory Appl. 138 (2008) 375–396.
[7] G. Eichfelder, Adaptive Scalarization Methods in Multiobjective Optimization, Berlin, Springer,
2008.
[8] G. Eichfelder, Scalarizations for adaptively solving multi-objective optimization problems, Com-
put. Optim. Appl. 44 (2009) 249–273.
[9] A. Engau, M. Wiecek, Generating epsilon efficient solutions in multiobjective programming, Eur.
J. Oper. Res. 177 1566–1579.
[10] Y. Gao, X. Yang, K.L. Teo, Optimality conditions for approximate solutions in vector optimization
problems, J. Ind. Manag. Optim. 7 (2011) 483–496.
[11] A.M. Geoffrion, Proper efficiency and the theory of vector maximization, J. Optim. Theory Appl.
22 (1968) 618–630.
[12] C. Hillermeier, J. Jahn, Multiobjective optimization, survey of methodsand industrial applications,
Surv. Math. Ind. 11 (2005) 1–42.
[13] R.A. Horn, C.R. Johnson, Topics in Matrix Analysis, Cambridge University Press, 1991.
[14] A. Hutterer, J. Jahn, On the location of antennas for treatment planning in hyperthermia, OR Spec-
trum. 25 (2003) 397–412.
[15] J. Jahn, Vector optimization: Theory, applications and extensions, Berlin, Springer, 2004.
[16] J. Jahn, A. Kirsch, C. Wagner, Optimization of rod antennas of mobile phones, Math. Methods
Oper. Res. 59 (2004) 37–51.
[17] K. Khaledian, E. Khorram, B. Karimi, Characterizing ε- properly efficient solutions, Optim. Meth-
ods Softw. 30 (2014) 583–593.
[18] S.S. Kutateladze, Convex ε-programming, Soviet Math. Dokl. 20 (1979) 391–393.
[19] P. Loridan, ε-Solutions in vector minimization problems, J. Optim. Theory Appl. 43 (1984) 265–
276.
[20] R.T. Marler, J.S. Arora, Survey of multi-objective optimization methods for engineering, Struct,
Multidiscip. Optim. 26 (2004) 369–395.
[21] N. Rastegar, E. Khorram, A combined scalarizing method for multiobjective programming prob-
lems, Eur. J. Oper. Res. 236 (2014) 229–237.
[22] M.M. Rizvi, New optimality conditions for non-linear multiobjective optimization problems and
new scalarization techniques for constructing pathological Pareto fronts, PhD Thesis, University
of South Australia, 2013.
[23] F. Ruiz, L. Rey, M.M. Munoz, A graphical characterization of the efficient set for convex multiob-
jective problems, Ann. Oper. Res. 164 (2008) 115–126.
[24] H. Salmei, M.A. Yaghoobi,Improving the min-max method for multiobjective programming, Oper.
Res. Lett. 48 (2020) 480–486.
[25] L. Shao, M. Ehrgott, Approximately solving multiobjective linear programmes in objective space
and an application in radiotherapy treatment planning, Math. Methods Oper. Res. 68 (2008) 257–
276.
[26] L. Shao, M. Ehrgott, Approximating the nondominated set of an MOLP by approximately solving
its dual problem, Math. Methods Oper. Res. 68 (2008) 469–492.
[27] R.E. Steuer, P. Na, Multiple criteria decision making combined with finance: A categorized biblio-
graphic study, Eur. J. Oper. Res. 150 (2003) 496–515.
[28] M. Soleimani-Damaneh, An optimization modelling for string selection in molecular biology using
Pareto optimality, Appl. Math. Model. 35 (2011) 3887–3892.
[29] H. Tuy, Convex Analysis and Global Optimization, Berline, Springer, 2016.
[30] D.J. White, Epsilon-dominating solutions in mean-variance portfolio analysis, Eur. J. Oper. Res.
105 (1998) 457–466.
[31] D.J. White, A bibliography on the application of mathematical programming multiple-objective
methods, J. Oper. Res. Soc. 41 (1990) 669–691.
)