On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems

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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. © Springer International Publishing Switzerland 2013.

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APA

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. Advances in Intelligent Systems and Computing, 210, 89–99. https://doi.org/10.1007/978-3-319-00542-3_10

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