To extract the fitness function value and the iteration in a genetic algorithm code in MATLAB, you can make use of the OutputFcn
option in the ga
function. The OutputFcn
option allows you to specify a custom function that will be called after each iteration of the genetic algorithm.
Here's an example code that demonstrates how to extract the fitness function value and the iteration:
main.m880 chars28 lines
In this code, the gaOutputFcn
function is defined as the custom output function. It extracts the iteration number from the state.Generation
field and the fitness function value from state.Best
. It then displays these values and stores them in the state
variable.
You can modify the gaOutputFcn
function to suit your needs, e.g., to save the iteration number and fitness value to a file or plot them.
After running the genetic algorithm with the ga
function, you can extract the final iteration number and fitness value from the state
variable.
Note that yourFitnessFunction
should be replaced with the actual fitness function you are using in your code.
Remember to adjust the code according to your specific requirements.
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