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Liana Napalkova

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

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Mourad Ykhlef and Hebah ElGibreen

Magazine , pp. 37-54, 1996. D. Goldberg, Genetic Algorithms. Addison Wesley, 1989. F. Herrera, M. Lozano, and J. L. Verdegay, "Tackling real-coded genetic algorithms: Operators and tools for the behaviour analysis," Artificial Intelligence Review , vol. 12, pp. 256-319, 1998. J. Tay and D. Wibowo, "An effective chromosome representation for evolving flexible job shop schedules," in The Genetic and Evolutionary Computation Conference (2) , 2004, pp. 210-221. S

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P. Jantos, D. Grzechca and J. Rutkowski

, Evolutionary Computation I - Basic Algorithms and Operators , IOP Publishing Ltd, London, 2003. T. Bäck, B. Fogel, and Z. Michalewicz, Evolutionary Computation I - Advanced Algorithms and Operators , IOP Publishing Ltd, London, 2003. C. Ferreira, "Gene expression programming: a new adaptive algorithm for solving problems", Complex Systems 13 (2), 87-129 (2001). C. Ferreira, Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence , Springer-Verlag, London, 2006

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Todor Balabanov, Iliyan Zankinski and Maria Barova

References 1. Goldberg, D. E. Genetic and Evolutionary Algorithms Come of Age. – Communications of the ACM, Vol. 37 , 1994, No 3, pp. 113-119. 2. Pappa, G., G. Ochoa, M. Hyde, A. Freitas, J. Woodward, J. Swan. Contrasting Meta-Learning and Hyper-Heuristic Research: The Role of Evolutionary Algorithms. – Genetic Programming and Evolvable Machines, Vol. 15 , 2014, Issue 1, pp. 3-35. 3. Adamidis, P. Review of Parallel Genetic Algorithms Bibliography. Tech. Rep. Version 1. Aristotle University of Thessaloniki, Thessaloniki, Greece, 1994. 4

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A. Długosz and T. Burczyński

. [6] T. Burczyński and A. Długosz, “Evolutionary optimization in thermoelastic problems using the boundary element method”, Computational Mechanics [7] R. Białecki, T. Burczyński, A. Długosz, W. Kuś, and Z. Ostrowski, “Evolutionary shape optimization of thermolastic bodies exchanging heat by convection and radiation”, Methods in Appl. Mechanics and Eng [8] Z. Michalewicz, Genetic Algorithms + Data Structures = Evolutionary Programs, [9] E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: improving the strength pareto

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A. Słowik

Algorithms in Search, Optimization, and Machine Learning , Addison-Wesley Publishing Company Inc., Boston, 1989. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs , Springer-Verlag, Berlin, 1992. J. Arabas, Lectures on Evolutionary Algorithms , WNT, Warsaw, 2001. N. Benvenuto, M. Marchesi, G. Orlandi, F. Piazza, and A. Uncini, "Finite wordlength digital filter design using an annealing algorithm", Int. Conf. on Acoustics, Speech, and Signal Processing 2, 861

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Michał Ćwik and Jerzy Józefczyk

References [1] Pinedo M.L., Scheduling - Theory, Algorithms and Systems, Springer, 2008. [2] Dutt L.S., Kurian M., Handling of Uncertainty - A Survey, International Journal of Scientific and Research Publications, 3, 2250-315, 2013. [3] Pinedo M.L., Schrage L., Stochastic shop scheduling: A survey, Dempster M.A.H., Lenstra J.K., Rinooy Kann A.H.G. [Eds.], Deterministic and Stochastic Scheduling, Reidel, Dordrecht, 1982. [4] Kouvelis P., Yu G., Robust Discrete Optimization and its Applications

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Hemant Patidar, Gautam Kumar Mahanti and Ramalingam Muralidharan

References [1] C. A. Balanis, Antenna Theory: Analysis and Design, 2nd ed. Singapore: John Wiley and Sons (Asia), 2003. [2] R.L.Haupt, “Phase-only adaptive nulling with a genetic algorithm”, IEEE Trans. on Antennas and Propagation, vol.45, no.6, pp.1009-1015, 1997. [3] H. Steyskal, R.A. Shore, R.L. Haupt, “Methods for null control and their effects on the radiation pattern,” IEEE Transactions on Antennas and Propagation, vol. 34, no. 3, pp.404-409, 1986. [4] R.Vescovo, “Null synthesis by phase

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Peter C. R. Lane and Fernand Gobet

optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 2:221-248. Stewart, T., andWest, R. 2010. Testing for equivalence: A methodology for computational cognitive modelling. Journal of Artificial General Intelligence 2:69-87. Tor, K., and Ritter, F. E. 2004. Using a Genetic Algorithm to Optimize the Fit of Cognitive Models. In Proceedings of the Sixth International Conference on Cognitive Modeling, 308-313. Mahwah, NJ: Lawrence Erlbaum.

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Darko Šošić and Ivan Škokljev

Restoration Energy in Distribution Systems, Journal of Electrical Engineering 63 No. 1 (2012), 47-52. [13] ELMAOUHAB, A.-BOUDOUR, M.-GUEDDOUCHE, R. : New Evolutionary Technique for Optimization Shunt Capacitors in Distribution Networks, Journal of Electrical Engineering 62 No. 3 (2011), 163-167. [14] PERUMAL, M. P.-NANJUDAPAN, D. : Performance Enhancement of Embedded System BasedMultilevel Inverter Using Genetic Algorithm, Journal of Electrical Engineering 62 No. 4 (2011), 190-198. [15] ABOURA, S.-OMARI, A.-MEGUENNI, K. Z