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Optimization of Welding Process using a Genetic Algorithm

REFERENCES [1] D.E. Goldberg. Genetic algorithm in Search, Optimization, and Machine Learning, Addison Wesley, Reading, MA 1989 . [2] L. Chambers. Practical Handbook of Genetic Algorithms, aplications, CRC Press, New York 2001 . [3] V. Kvasnička, J. Pospíchal, P. Tiňo. Evolutionary algorithms, STU, Bratislava 2000 (in Slovak). [4] Sysweld: Reference manual, ESI Group, 2015 . [5] V. Voštiar. Numerical Analysis of Residual Streses after Welding in Planar Parts, Diploma Thesis, STU Engineering Faculty in Bratislava, Bratislava

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Quality Improvement of a Gear Transmission by Means of Genetic Algorithm

REFERENCES Augustyn, E.; Kozien, M. S. 2014. A Study on Possibility to Apply Piezoelectric Actuators for Active Reduction of Torsional Beams Vibrations . Acta Physica Polonica A, 125, A164-A168. El-Mahdy, O., Ahmed, M., Metwalli, S., 2010. Computer aided optimization of natural gas pipe networks using genetic algorithm . Applied Soft Computing, 10, 1141–50. DOI: 10.1016/j.asoc.2010.05.010 Frith, R., Scott, W., 1996. Comparison of an external gear pump wear model with test data . Wear, 196, 64–71. DOI: 10.1016/0043-1648(95)06845-7 Fuh, J

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Genetic Algorithms for Solving Scheduling Problems in Manufacturing Systems

References Allahverdi A., Ng C. T., Cheng T. C. E., Kovalyov M. Y. - A survey of scheduling problems with setup times or costs [in] European Journal of Operational Research, Vol. 187, 2008, pp. 985-1032. Arroyo J. E. C., Armentano V. A. - Genetic local search for multi-objective flow shop scheduling problems [in] European Journal of Operational Research, Vol. 167, 2005, pp. 717-738. Balin S. - Non-identical parallel machine scheduling using genetic algorithm [in] Expert

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Genetic Algorithms vs. Knowledge-Based Control of PHB Production

. Optimization of EPB Shield Performance with Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm. – Applied Sciences, Switzerland, Vol. 9 , 2019, No 4, Art. No 780. 5. Espanola, J. L., A. A. Bandala, R. R. P. Vicerra, E. P. Dadios. Design of a Fuzzy-Genetic Controller for an Articulated Robot Gripper. – In: IEEE Region 10 Annual International Conference, Proceedings/TENCON, October 2018, Art. No 8650431, 2019, pp. 1701-1706. 6. Fidanova S., M. Paprzycki, O. Roeva. Hybrid GA-ACO Algorithm for a Model Parameters Identification Problem. – In: Proc. of 2014

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Performance analysis of the partial use of a local optimization operator on the genetic algorithm for the Travelling Salesman Problem

. (2011), "Quantitative analysis of separate and combined performance of local searcher and genetic algorithm", in Proceedings of the 33rd International Conference on Information Technology Interfaces, ITI2011, Faculty of Mathematics, Natural Sciences & Information Technologies, University of Primorska, Koper, pp. 515-520. Djordjevic, M., Tuba, M., Djordjevic, B. (2009), "Impact of Grafting a 2-opt Algorithm Based Local Searcher Into the Genetic Algorithm", in Proceedings of the 9th WSEAS international conference on Applied informatics and

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Genetic Algorithm Based Clustering for Large-Scale Sensor Networks

2011, pp. 1-6. 12. Elhoseny, M., X. Yuan, Z. Yu, C. Mao, H. El-Minir, A. Riad. Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm. – Communications Letters, IEEE, 2014, No 99. 13. Wu, Y., W. B. Liu. Routing Protocol Based on Genetic Algorithm for Energy Harvesting-Wireless Sensor Networks. – Wireless Sensor Systems, IET, Vol. 3 , June 2013, No 2, pp. 112-118.

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The Optimization of COCOMO Model Coefficients Using Genetic Algorithms

niched Pareto genetic algorithm for multiobjective optimization. Orlando, USA: IEEE; 1994, pp. 82-87. [4] X. Huang, D. Ho, J. Ren, L.F. Capretz, Improving the COCOMO model using a neuro-fuzzy approach. Vol. 7, Applied Soft Computing, 2007, pp. 29-40. [5] A. Kaushik and A. Chauhan, COCOMO Estimates Using Neural Networks, Vol. 9, Intelligent Systems and Applications, Delhi: Modern Education and Computer Science Press, 2012, pp. 22-28. [6] Y. Miyazaki, K. Mori, COCOMO evaluation and tailoring. Proc. Eighth Int. Conf. Soft

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Optimization of Satellite Combination in Kinematic Positioning Mode with the Aid of Genetic Algorithm

References Allen, F., and Karjalainen, R. (1999) Using Genetic Algorithms to Find Technical Trading Rules. Journal of Financial Economics 51, pp. 245-271. Buckland, M. (2002) AI Technique for Game Programming. The Premier Press Game Development Series, Premier Press. Holland, J. H. (1975) Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor Kim, S., Ito, K., Yoshihara, D., and Wakisaka, T. (2005) Application of a

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Diagonal Scaling of Ill-Conditioned Matrixes by Genetic Algorithm

, John P. Chandler, An Approximate Equation for the Condition Numbers of Well-scaled Matrices Proceedings of The 2008 IAJC-IJME International Conference. A. Chutarat, (2001), Experience of Light: The Use of an Inverse Method and a Genetic Algorithm in Daylighting Design, Ph.D. Thesis, Dept. of Architecture, MIT, Cambridge, MA. A. R. CURTIS AND J. K. REID, (1972), On the automatic scaling of matrices for Gaussian elimination, J. Inst. Maths. Applics., 10, 118124. I. S. DUFF, A. M. ERISMAN, AND

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Controller design of isolated power-electricity island using genetic algorithm

R eferences [1] D. E. Goldberg, “Genetic Algorithms in Search, Optimisation And Machine Learning”, Addisson-Wesley, 1989. [2] A. E. Eiben and J. E. Smith, Introduction To Evolutionary Computing , Springer, 2003. [3] I. Sekaj “Evolučné výpočty a ich využitie v praxi”, Bratislava: Iris, 2005 (in Slovak). [4] I. Sekaj, “Control Algorithm Design Based On Evolutionary Algorithms”, Introduction To Modern Robotics , Hong Kong, Iconcept, Press Ltd., 2011, pp. 251–266. [5] I. Sekaj and M. Šrámek, “Robust Controller Design Based on Genetic

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