作者: Michal Pluhacek , Roman Senkerik , Ivan Zelinka , Donald Davendra
DOI: 10.1007/978-3-319-10759-2_24
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摘要: This paper presents deep study of the process implementation discrete chaotic maps as pseudo-random number generators (CPRNGs) for needs Particle Swarm Optimization (PSO) algorithm. There are several different ways CPRNG creation. addresses main issues (including examples and results comparison) may serve a very useful resource any future researchers.