Questions tagged [genetic-programming]
Questions should be posted with this tag when help is needed using, developing, or optimizing a genetic program, finding resources about genetic programming, or understanding how genetic programming compares to other machine learning approaches for solving specific problems.
7
questions
0
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1answer
17 views
Can I use Keras to give fitness scores to a genetic algorithm?
I know that I can use Keras to solve classification problems but is it possible to get it to output a float between 0 and 1000 for instance? I want train my network to approximate the simulation that ...
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0answers
20 views
What is explicit fitness sharing in NEAT?
I cannot understand what is explicit fitness sharing. Could someone explain it?
2
votes
0answers
52 views
Genetic Programming Python library with a Scikit-Learn inspired API
I've been working with GPlearn for the passed couple of months as part of my research, but it turns out that it provides only a binary symbolic classifier. Do you guys know any other python library ...
7
votes
2answers
115 views
Creating a generic mathematical formula using a genetic algorithm
Assuming all of the following;
I have 4 known numbers, all within a 0-400 range, like this:
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1
vote
1answer
30 views
Why GA convergence curves continue as two parallel lines?
I'm working on a optimization problem and using GA algorithm (in MATLAB, ga function).
As you know MATLAB plots GA result with two curves, one for the best values and other to show the mean values ...
2
votes
2answers
233 views
kaggle Titanic what is GP?
sometimes I see the kernel with GP programming.
but without explanation, they put some random number with unknown equation
Here is some part of GP programming
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1
vote
1answer
62 views
In which cases should Genetic Programming be preferred over Artificial Neural Network trained with Genetic Algorithm
I am trying to understand Genetic Programming (GP) but I cannot think of any context where GP can be chosen over training Artificial Neural Networks with genetic algorithms.
What problems each of ...
