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Summary of Evolution Parameters for Micro-GA

Table 2 shows a summary of the evolution parameters selected for the micro-GA for the current application.


 
Table 2: Summary of the optimum evolution parameters for the micro-genetic algorithm
Population size 5 Crossover rate 0.95
Jump mutation rate 0.0 Creep mutation rate 0.0
Elitism Yes (best individual only) Niching No
Selection strategy Tournament Number of children 1

next up previous print clean
Next: Comparison of Standard and Up: Micro-Genetic Algorithm Previous: Selection of Evolution Parameters
Stanford Exploration Project
11/11/2002