A set of activities that help you harness the power of genetic algorithms in you automation workflows.
Genetic Algorithm Scope
Use genetic algorithms scope to define the parameters of a GA.
Define the inputs: -choices for the pattern (list of stings) -selection, mutation and crossover techniques -population size, gene size, max generations
Output: -A list of patterns to be tested and scored by your automation
Set Pattern Score -Assign a fitness to each pattern, this is used to determine the offspring for the next generation
Evolve Next Generation -Returns a list of new patterns after creating the new generation based on the parameters defined in the GA scope