Abstract
In this paper, it is proposed the utilization of discrete Dissipative standard map based chaos pseudorandom number generator to enhance the performance of PSO algorithm with linear decreasing inertia weight in the task of high dimensional optimization. The performance is tested on a set of four typical test functions and the results are briefly analyzed and compared against the standard PSO version with inertia weight.
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Pluhacek, M., Senkerik, R., Zelinka, I., Davendra, D. (2013). On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems. In: Zelinka, I., Chen, G., Rössler, O., Snasel, V., Abraham, A. (eds) Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 210. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00542-3_10
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DOI: https://doi.org/10.1007/978-3-319-00542-3_10
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