Simulated Binary Crossover for Continuous Search Space

  • Deb K
  • Agrawal R
  • 288

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Abstract

The success of binary-coded genetic algorithms (GAs) in problems having discrete search space largely depends on the coding used to represent the problem variables and on the crossover operator that propagates building-blocks from parent strings to children strings. In solving optimization problems having continuous search space, binary-coded GAs discretize the search space by using a coding of the problem variables in binary strings. However, the coding of real-valued variables in...

Author-supplied keywords

  • croisement
  • genetique
  • multiobjectifs
  • optimisation

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Authors

  • Kalyanmoy Deb

  • Ram Bhushan Agrawal

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