Influence of Random Number Generators on GPA-ES Algorithm Efficiency

Author:

Brandejsky Tomas

Publisher

Springer International Publishing

Reference9 articles.

1. Advances in Intelligent Systems and Computing;T Brandejsky,2015

2. Senkerik, R., Pluhacek, M., Kominkova-Oplatkova, Z.: Simulation of time-continuous chaotic systems for the generating of random numbers. In: Proceedings of the 18th International Conference on Systems (part of CSCC 2014), Santorini Island, Greece, 17–21 July 2014. Latest Trends on Systems, vol. II, pp. 557–561 (2014). ISSN 1790-5117, ISBN 978-1-61804-244-6

3. Advances in Intelligent Systems and Computing;L Skanderova,2013

4. Cantú-Paz, E.: On Random Numbers and the Performance of Genetic Algorithms. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore

5. Brandejsky, T.: The use of local models optimized by genetic programming algorithm in biomedical-signal analysis. In: Zelinka, I., Snášel, V., Abraham, A. (eds.) Handbook of Optimization from Classical to Modern Approach, pp. 697–716. Springer, Heidelberg (2012). ISBN 978-3-642-30503-0

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1. Accelerated Genetic Programming;Recent Advances in Soft Computing;2018-08-05

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