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-defined simulator case. — Proc. IFAC Sympos. Manufacturing, Modeling, Management and Control, MIM , Rio Patras, Greece, pp. 377-382. Kamola M. and Miazga P. (2001): Global and local optimization algotithms in automated waveguide design. — Proc. 5-th Nat. Conf. Evolutionary Algorithms and Global Optimization , Jastrzębia Góra, Poland, pp. 97-105. Kamola M. (2004): Algorithms for Optimisation Problems with Implicit and Feasibility Constraints. — Ph.D. thesis, Warsaw University of Technology, available at http://www.ia.pw.edu.pl/~mkamola/Kamola04.pdf Papalambros P.Y. (1988

. Chemical Engineering , 1 (2), 83-92. Mayor, L., Moreira, R., Chenlo, F., Sereno, A.M. (2006). Kinetics of osmotic dehydration of pumpkin with sodium chloride solutions, Journal of Food Engineering , 74 (2), 253-262. Panagiotou, N.M., Karathanos, V.T., Maroulis, Z.B. (1999). Effect of osmotic agent on osmotic dehydration of fruits. Drying Technology , 17 , 175-189. Plawgo, A., Szparaga, Ł., Bartosik, P., Kubiak, M. S. (2009). Static optimization of osmotic dehydration and storage process of previously frozen plums . [w]: Food Technology Opertaions. New Vistas. Red

.9790/0661-1805014052 [21] L. Sang, J. Xiao, and X. Cui, “Converting XML Schema Data to Object-Relational Data With DOM,” in Proc. 2011 International Conference on Web Information Systems and Mining, vol. 2, Springer-Verlag, 2011, pp. 452–460. [22] J. Haslinger and R. A. E. Makinen, Introduction to Shape Optimization: Theory, Approzimation and Computation. USA, Philadelphia: Industrial and Applied Mathematics, 2008. https://doi.org/10.1137/1.9780898718690 [23] J. Chen, V. Shapiro, K. Suresh, and I. Tsukanov, “Parametric and Topological Control in Shape Optimization,” in

References [1] Qin X.S., Huang G.H., Zeng G.M., Chakma A., Huang Y.F., An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty , European Journal of Operational Research 180, 2007, 1331–1357. [2] Egemen Aras, Vedat Togan, Mehmet Berkum, River water quality management model using genetic algorithm , Environ Fluid Mech 7, 2007, 439–450. [3] Huapeng Qin, Jingjing Jiang, Guangtao Fu, Ying Zheng, Optimal water quality management considering spatial and temporal variations in a tidal river , Water Resour Manage

Optimization, Springer-Verlag, 2nd ed., Berlin - New York. [11] Pietrosiński, M., 2015, “Wpływ geometrii profilu lotniczego łopaty wirnika głównego na osiągi wiatrakowca” (Eng. : “The Influence of the Main Rotor Blade Airfoil Geometry on the Gyroplane Performance”), Transactions of the Institute of Aviation, 4 (241), s. 62-72. [12] Stalewski W., 2012, “Parametric Modelling of Aerodynamic Objects - the Key to Successful Design and Optimisation”, Aerotecnica Missili e Spazio. Italian Association of Aeronautics and Astronautics (AIDAA). 1/2 (90), March-June 2012. [13] Stalewski

the optimized rotor are increased. The comparison of streamlines illustrated in Fig. 8 shows an improvement in flow pattern at the suction side of the optimized rotor, which confirms the decreased loss regions at the suction surface observed in the earlier figure. Figure 7 Comparison of total pressure contours behind the original (left) and optimized (right) rotor Figure 8 Comparison of streamlines in the original (left) and optimised (right) rotor 6 Conclusions The paper describes the idea of direct constrained optimisation of flow systems in the turbomachinery

, K., Korycki, R., Rousselet, B., Application of first- and second-order sensitivities in domain optimization for steady conduction problem, J.Therm.Stress., 20, 697-728,1997 [6] Golanski D., Terada K., Kikuchi N., Macro and micro scale modeling of thermal residual stresses in metal matrix composite surface layers by the homogenization methods, Computational Mechanics, 19, 188-202, 1997 [7] Haghi, A.K., Factors effecting water-vapor transport through fibers, Theoret. Appl. Mech., Vol.30, No.4, 277-309, 2003 [8] http://planetcalc.com/2167/ [9] Korycki, R

.S. A vehicle scheduling problem with fixed trips and time limitations. International Journal of Production Economics. - Vol. 117, Nr.1 (January 2008), P. 150-161. Nagamochi H., Ohnishi T. Approximating a vehicle scheduling problem with time windows and handling times. Theoretical Computer Science. - Vol. 393, Issue 1-3 (March 2008), P. 133-146. Laguna M. Optimization of Complex Systems with OptQuest. - Boulder: University of Colorado, 1997, 14 p.

References Gosavi A. Simulation Optimisation: Parametric Optimisation Techniques and Reinforcement Learning. - Norvell: Kluwer Academic Publishers, 2003, 551 p. Deb K. Evolutionary algorithms for multi-criterion optimisation in engineering design. Proceedings of Evolutionary Algorithms in Engineering and Computer Science. - London: John Wiley and Sons, Ltd., 1999. 135-161 p. Jourdan L., Basseur M., Talbi E.G. Hybridizing exact methods and metaheuristics: A taxonomy. European Journal of Operational Research. - Vol. 199 (2009), 620-629 p. Talbi E.G. A Taxonomy of

excitation. AIP Advanced, 7 , 105303. 4. Orlova, S., Kamolins, E., Konuhova, M., & Suleiko, A. (2018). Design of magnetic couplings for bioreactors: Analytical treatment and optimization. In: IEEE 2018 20th European Conference on Power Electronics and Applications (EPE’18 ECCE Europe) , 17–21 September 2018, Riga, Latvia. 5. Statista. (n.d.). Rare earth reserves worldwide as of 2018, by country . https://www.statista.com/statistics/277268/rare-earth-reserves-by-country/ 6. Desai, P. (2018). Tesla’s electric motor shift to spur demand for rare earth neodymium. Reuters