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Defining BioInformatics
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This category includes some of the basic algorithms that are usually used by bioinformaticians.
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Home » 2011 » August » 23 » Genetic Algorithms
2:17 PM Genetic Algorithms |
Genetic Algorithms
13. Other Parameters Of GA: - Initialization:
- Population size
- Random
- Dedicated greedy algorithm
- 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)
- Stop criterion:
- Number of new chromosomes
- Number of new and unique chromosomes
- Number of generations
- Measure:
- Best of population
- 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 |
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