Abstract
In this paper, it is proposed the utilization of discrete Lozi map based chaos random number generator to enhance the performance of PSO algorithm with inertia weight. Performance tests and results are presented. Results are analyzed and compared with another evolutionary algorithm. Tuning experiment was performed.
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Keywords
- Particle Swarm Optimization
- Evolutionary Algorithm
- Random Number Generator
- Particle Swarm Optimization Algorithm
- Inertia Weight
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Pluhacek, M., Budikova, V., Senkerik, R., Oplatkova, Z., Zelinka, I. (2013). Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_19
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DOI: https://doi.org/10.1007/978-3-642-33227-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33226-5
Online ISBN: 978-3-642-33227-2
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