To scale the fitness function in MATLAB, you can follow these steps:
Here is an example code snippet that demonstrates how to accomplish this:
main.m462 chars13 lines
In the code snippet above, fitnessValues
represents the original fitness values of your population. The minFitness
and maxFitness
variables store the minimum and maximum fitness values, respectively.
The fitness values are then scaled between 0 and 1 using the formula (fitnessValues - minFitness) / (maxFitness - minFitness)
. This formula linearly scales the fitness values, ensuring that the minimum fitness value becomes 0 and the maximum fitness value becomes 1.
Finally, you can apply the scaled fitness values in your genetic algorithm operations, such as selection, crossover, or mutation.
Remember to adapt the code to your specific problem and algorithm implementation.
Please note that fitness scaling is an optional step in a genetic algorithm and may not be necessary for every problem.
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