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  • In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that a discrete chaotic Lozi map is used as the chaotic pseudo random number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by chaos driven DE is compared with canonical DE strategy.
  • In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that a discrete chaotic Lozi map is used as the chaotic pseudo random number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by chaos driven DE is compared with canonical DE strategy. (en)
Title
  • Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization
  • Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization (en)
skos:prefLabel
  • Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization
  • Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization (en)
skos:notation
  • RIV/61989100:27240/13:86088792!RIV14-GA0-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED2.1.00/03.0089), P(GA13-08195S), S
http://linked.open...vai/riv/dodaniDat
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  • 64989
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  • RIV/61989100:27240/13:86088792
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  • Differential evolution, Chaos, Lozi map, Optimization, Reactor geometry (en)
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  • [2A2DE43ECAA9]
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  • Zakopane
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  • Heidelberg
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  • Lecture Notes in Computer Science. Volume 7895
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  • Davendra, Donald David
  • Zelinka, Ivan
  • Šenkeřík, Roman
  • Pluháček, Michal
  • Komínková Oplatková, Zuzana
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  • 000326950400006
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
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  • 10.1007/978-3-642-38610-7_6
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  • Springer-Verlag
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  • 978-3-642-38609-1
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  • 27240
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