How can I optimize fitness functions in my algorithm?
Optimizing fitness functions involves refining the criteria that evaluate solutions. What type of algorithm are you using?
I'm working with a genetic algorithm for a scheduling problem.
For genetic algorithms, consider using multi-objective optimization to balance different criteria like time and resource allocation.
What techniques can I use to improve the fitness function?
You can use techniques like normalization, penalty functions, or adaptive fitness scaling to enhance your fitness function.
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