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  • In this paper, it is proposed the utilization of discrete Dissipative stand- ard map based chaos pseudorandom number generator to enhance the performance of PSO algorithm with linear decreasing inertia weight in the task of high dimen- sional optimization. The performance is tested on a set of four typical test func- tions and the results are briefly analyzed and compared against the standard PSO version with inertia weight.
  • In this paper, it is proposed the utilization of discrete Dissipative stand- ard map based chaos pseudorandom number generator to enhance the performance of PSO algorithm with linear decreasing inertia weight in the task of high dimen- sional optimization. The performance is tested on a set of four typical test func- tions and the results are briefly analyzed and compared against the standard PSO version with inertia weight. (en)
Title
  • On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems
  • On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems (en)
skos:prefLabel
  • On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems
  • On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems (en)
skos:notation
  • RIV/61989100:27240/13:86087203!RIV14-TA0-27240___
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  • P(ED2.1.00/03.0089), P(EE.2.3.20.0072), P(GA13-08195S), P(TE01020197), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Davendra, Donald David
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  • 93927
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  • RIV/61989100:27240/13:86087203
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  • Particle Swarm Optimisation, Chaos Maps, Optimisation (en)
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  • [EE10D0ADD4C3]
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  • Ostrava
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  • Heidelberg
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  • Advances in Intelligent Systems and Computing. Volume 210
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  • Davendra, Donald David
  • Zelinka, Ivan
  • Senkerik, Roman
  • Pluhacek, Michal
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issn
  • 2194-5357
number of pages
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  • 10.1007/978-3-319-00542-3_10
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  • Springer-Verlag
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  • 978-3-319-00541-6
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  • 27240
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