Abstract
In this paper a previously proposed method is extended with pseudo-random number generator based on chaotic sequences. Several recent approaches for designing the evolutionary computational techniques are merged in the proposed method. The proposed method represents a hybridization of heterogeneous swarm based PSO and differential evolution extended with the chaotic sequences implementation. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set.
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Pluhacek, M., Senkerik, R., Viktorin, A., & Zelinka, I. (2016). Chaos enhanced repulsive MC-PSO/DE hybrid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9692, pp. 465–475). Springer Verlag. https://doi.org/10.1007/978-3-319-39378-0_40
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