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# Questions tagged [fitness-functions]

For questions related to fitness functions in the context of evolutionary computation and evolutionary algorithms. A fitness function is a function that assesses the quality (or fitness) of an individual (i.e. solution) in the population (in the case of population-based evolutionary algorithms).

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### Can't the loss function be used as a fitness function?

Can't the loss function used in backpropagation be used as a fitness function in an evolutionary algorithm?
58 views

### Best way to generate fitness landscape when using higher dimensional data

I'm using a GA to find the best set of parameters to maximize a fitness function. I want to draw a fitness landscape to visualize the effectiveness of the algorithm. The fitness function, calculated ...
262 views

### How to define a fitness function to make sure the best fitness value is 'close to 9' in genetic algorithm

I am learning about genetic algorithms (GA), but I encountered a question about the definition of the fitness function used in GA. I understand that the fitness function should return a scalar value (...
56 views

### Does pairing children with their parents cause any harm (in a genetic program)?

If you pair parents with their children (with a cross-over) does this prevent making individuals which are more fit or does this cause other side effects which are harmful to the genetic process? I ...
• 131
1 vote
369 views

### How to calculate adjusted and normalized fitness when a higher raw fitness is better

I am reading Genetic Programming: On the Programming of Computers by Means of Natural Selection by John R. Koza. For calculating the "standardized fitness" of an individual, where a lower ...
• 123
1 vote
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### Is there a crossover that also considers that every index in the vector also influences the fitness function?

Is there a crossover that also considers that every index in the vector also influences the cost function? I have two vectors $v_1=[A_1, A_2, A_3, A_4, A_5]$ and $v_2=[A_5, A_3, A_2, A_1, A_4]$. The ...
• 113
1 vote
230 views

### How to design fitness function for multiple objectives?

I am currently building a neural network with genetic algorithms that learns to fly a 2D drone to a target. My goal is that it achieves all tasks as fast as possible, but I want the drone to also fly ...
• 13
405 views

### Does gradient descent in deep learning assume a smooth fitness landscape?

I've come across the concept of fitness landscape before and, in my understanding, a smooth fitness landscape is one where the algorithm can converge on the global optimum through incremental ...
• 159
364 views

• 51
1 vote