Genetic Algorithms - 23 August 2011 - BioInformatics Pakistan
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Genetic Algorithms


Genetic Algorithms
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13. Other Parameters Of GA:
  1. Initialization
    • Population size
    • Random
    • Dedicated greedy algorithm
  2. Reproduction
    • Generational: as described before (insects)
    • Generational with elitism: fixed number of most fit individuals are copied unmodified into new generation
    • Steady state: two parents are selected to reproduce and two parents are selected to die; two offspring are immediately inserted in the pool (mammals)
  3. Stop criterion:
    • Number of new chromosomes
    • Number of new and unique chromosomes
    • Number of generations
  4. Measure:
  5. Best of population
    • Average of population
  6. Duplicates
    • Accept all duplicates
    • Avoid too many duplicates, because that degenerates the population (inteelt)
    • No duplicates at all
14. Example Run:
Maxima and Averages of steady state and generational replacement 

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Category: Algorithms | Views: 482 | Added by: Ansari | Rating: 0.0/0
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