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Genetic Algorithms  Chapter 3
GA Quick Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genetic algorithms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SGA technical summary tableau Emphasis on crossover Speciality All children replace parents Survivor selection Fitness-Proportionate Parent selection Bitwise bit-flipping with fixed probability Mutation N-point or uniform Recombination Binary strings Representation
Representation Genotype space = {0,1} L Phenotype space Encoding  (representation) Decoding (inverse representation) 011101001 010001001 10010010 10010001
SGA reproduction cycle ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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Genetic algorithms

  • 1. Genetic Algorithms Chapter 3
  • 2.
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  • 4. SGA technical summary tableau Emphasis on crossover Speciality All children replace parents Survivor selection Fitness-Proportionate Parent selection Bitwise bit-flipping with fixed probability Mutation N-point or uniform Recombination Binary strings Representation
  • 5. Representation Genotype space = {0,1} L Phenotype space Encoding (representation) Decoding (inverse representation) 011101001 010001001 10010010 10010001
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. x 2 example: selection
  • 12. X 2 example: crossover
  • 13. X 2 example: mutation
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