What is a fitness function in genetic algorithms?
A fitness function evaluates how well a solution solves a problem in genetic algorithms. It helps guide the evolution process.
Can you give me an example of a fitness function?
Sure! In a traveling salesman problem, a fitness function could measure the total distance of a route, aiming to minimize it.
How do you design a good fitness function?
A good fitness function should be clear, measurable, and aligned with the goals of the problem. It should also encourage diversity in solutions.
What are common pitfalls when using fitness functions?
Common pitfalls include overfitting, where the function is too specific, and ignoring constraints that could lead to infeasible solutions.
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