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  • Turbo code interleaver optimization is a NP-hard combinatorial optimization problem attractive for its complexity and variety of real world applications. In this paper, we investigate the usage and performance of recent variant of genetic algorithms, higher level chromosome genetic algorithms, on the turbo code optimization task. The problem as well as higher level chromosome genetic algorithms, that can be use for combinatorial optimization problems in general, is introduced and experimentally evaluated.
  • Turbo code interleaver optimization is a NP-hard combinatorial optimization problem attractive for its complexity and variety of real world applications. In this paper, we investigate the usage and performance of recent variant of genetic algorithms, higher level chromosome genetic algorithms, on the turbo code optimization task. The problem as well as higher level chromosome genetic algorithms, that can be use for combinatorial optimization problems in general, is introduced and experimentally evaluated. (en)
Title
  • Genetic Algorithms for the Use in Combinatorial Problems
  • Genetic Algorithms for the Use in Combinatorial Problems (en)
skos:prefLabel
  • Genetic Algorithms for the Use in Combinatorial Problems
  • Genetic Algorithms for the Use in Combinatorial Problems (en)
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  • RIV/61989100:27240/09:00020948!RIV10-GA0-27240___
http://linked.open...avai/riv/aktivita
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  • P(GA102/09/1494)
http://linked.open...vai/riv/dodaniDat
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  • 316143
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  • RIV/61989100:27240/09:00020948
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  • turbo codes; genetic algorithms (en)
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  • [008D9909182D]
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  • Berlín
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  • Foundations of Computational Intelligence Volume 3
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  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
  • Ouddane, Nabil
number of pages
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  • Springer Heidelberg
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  • 978-3-642-01084-2
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  • 27240
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