[1. Coello Coello, C.A., and Lamont, G.B. (2004) Applications of Multi-Objective Evolutionary Algorithms. Vol. 1: Advances in Natural Computation. New Jersey-London-Singapore-Berlin-Shanghai-Hong Kong-Taipei-Chennai: World Scientific, xxvii+761 p.10.1142/9789812567796_0001]Search in Google Scholar
[2. Courant, R. (1989) Partial Differential Equations. New York-London: Wiley VCH, xxii+830 p.]Search in Google Scholar
[3. Davenport, H. (2008) The Higher Arithmetic: An Introduction to the Theory of Numbers. Cambridge, UK: Cambridge University Press, ix+239.10.1017/CBO9780511818097]Search in Google Scholar
[4. Deb, K. (2001) Multi-objective Optimization Using Evolutionary Algorithms. Chichester-New York-Weinheim-Brisbane-Singapore-Toronto: John Wiley & Sons, xix+497 p.]Search in Google Scholar
[5. Gembicki, F.W. (1973) Vector Optimization for Control with Performance and Parameter Sensitivity Indices. Ph.D. Thesis, Department of System Engineering, Case Western Reserve University, Cleveland, USA, 204 p.]Search in Google Scholar
[6. Gembicki, F.W., and Haimes, Y.Y. (1975) Approach to Performance and Sensitivity Multiobjective Optimization: The Goal Attainment Method. IEEE Transactions on Automatic Control, 29(6), pp. 769-771.10.1109/TAC.1975.1101105]Search in Google Scholar
[7. Goncharsky, A.V., Leonov, A.S., and Yagola, A.G. (1973) A generalized residual principle. Computational Mathematics and Mathematical Physics, 13(2), pp. 294-302.]Search in Google Scholar
[8. Kang, M.H., Choi, H.R., Kim, H.S., and Park, B.J. (2012) Development of a maritime transportation planning support system for car carriers based on genetic algorithm. Applied Intelligence, 36(3), pp. 585-604.10.1007/s10489-011-0278-z]Search in Google Scholar
[9. Liotta, G., Stecca, G., and Kaihara, T. (2015) Optimisation of freight flows and sourcing in sustainable production and transportation networks. International Journal of Production Economics, 164, pp. 351-365.10.1016/j.ijpe.2014.12.016]Search in Google Scholar
[10. Masane-Ose, J. (2014) Competitive position of the Baltic States Ports. Riga, Latvia: KPMG International Cooperative. (Transport & Logistics, pp. 1-12; https://www.kpmg.lv)]Search in Google Scholar
[11. Medvedeva, A.A. (2014) Opportunities to reduce aggregate expenditures by means of creating a strategic alliance by maritime cargo transportation. M.Sc. Thesis in Transport and Logistics. Riga, Latvia: Transport and Telecommunication Institute, Faculty of Transport and Logistics, 62 p.]Search in Google Scholar
[12. Nikolaeva, L.L., and Tsymbal, N.N. (2005) Maritime Transportation. Odessa, Ukraine: FENIX Press, 424 p.]Search in Google Scholar
[13. Song, D.-W., and Panayides, Ph.M. (2012) Maritime Logistics: A Complete Guide to Effective Shipping and Port Management. London-Philadelphia-New Delhi: Kogan Page, 344 p.]Search in Google Scholar
[14. Steuer, R.E. (1986) Multiple Criteria Optimization: Theory, Computation, and Application. New York, USA: John Wiley & Sons, xx+546 p.]Search in Google Scholar
[15. Swiss Re Economic Research & Consulting. (2001-2015) World Insurance Reports No 6/2001; No 6/2002; No 8/2003; No 3/2004; No 2/2005; No 5/2006; No 4/2007; No 3/2008; No 3/2009; No 2/2010; No 2/2011; No 3/2012; No 3/2013; No 3/2014; No 4/2015. Zurich, Switzerland: Swiss Re, sigma. http://www.swissre.com/sigma/]Search in Google Scholar
[16. Tikhonov, A.N. (1966) Ill-posed optimal planning problems. Journal of Computational Mathematics and Mathematical Physics, 6(1), pp. 81-89.]Search in Google Scholar
[17. Tikhonov, A.N., Karmanov, V.G., and Rudneva, T.L. (1969) On the stability of linear programming problems. In: Numerical Methods and Programming, XII. Moscow: Lomonosov Moscow State University Press, pp. 3-9.]Search in Google Scholar
[18. Tikhonov, A.N., and Arsenin, V.Y. (1977) Solutions of Ill-Posed Problems. New York, USA: Halsted Press, xiii+258 p.]Search in Google Scholar
[19. Tuy, H., Chinchuluun, A., Pardalos, P.M., Migdalas, A., and Pitsoulis, L. (2008) Pareto Optimality, Game Theory and Equilibria. New York: Springer, 871 p.10.1007/978-0-387-77247-9]Search in Google Scholar
[20. Wakeman, Th., and Bomba, M. (2010) Maritime Freight Transportation, National Economic Recovery, and Global Sustainability: Coordinating a Strategic Plan. Transportation Research Board of the National Academies of Sciences, Engineering, Medicine. TR News: Globalization and Transportation, 269, pp. 14-20.]Search in Google Scholar
[21. Weil, A. (2013) Basic Number Theory. Berlin-Heidelberg: Springer-Verlag, xviii+316 p.]Search in Google Scholar