Although PN sequence detection is possible by using heuristic approaches such as evolutionary algorithms, due to the high computational cost of this task, such heuristic tends to become too expensive (computationally speaking), which can turn it impractical. Much of the computational complexity involved in the use of evolutionary algorithms as an optimization tool is due to the fitness function evaluation that may either be very difficult to define or be computationally very expensive.

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dbpprop:abstract
  • Although PN sequence detection is possible by using heuristic approaches such as evolutionary algorithms, due to the high computational cost of this task, such heuristic tends to become too expensive (computationally speaking), which can turn it impractical. Much of the computational complexity involved in the use of evolutionary algorithms as an optimization tool is due to the fitness function evaluation that may either be very difficult to define or be computationally very expensive. One of the recent proposed approaches -in fast recovering the PN sequence- is the use of fitness granulation as a promising fitness approximation scheme. With the use of fitness granulation approach called Adaptive Fuzzy Fitness Granulation (AFFG), the expensive fitness evaluation step is replaced by an approximate model.
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rdfs:comment
  • Although PN sequence detection is possible by using heuristic approaches such as evolutionary algorithms, due to the high computational cost of this task, such heuristic tends to become too expensive (computationally speaking), which can turn it impractical. Much of the computational complexity involved in the use of evolutionary algorithms as an optimization tool is due to the fitness function evaluation that may either be very difficult to define or be computationally very expensive.
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  • Audio watermark detection
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