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.
Questions tagged [genetic-programming]
10 questions
7
votes
2 answers
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:
Variable1 Variable2 Variable3 Variable4
0-400 0-400 0-400 0-400
I know that there is a mathematical relationship between the…
Roel Van de Paar
- 195
- 1
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2
votes
1 answer
avoiding premature convergence with neural networks (EA's)
I am currently writing a program that would be able to play snake on an 25*25 grid. It works by optimizing a set of weights of 300 different solutions (each solution would be a different neural network) with the aid of an evolutionary strategy, thus…
Nick Stevens
- 21
- 5
2
votes
0 answers
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 which do provide non-binary symbolic classifier and…
JojoHalastra
- 21
- 1
2
votes
2 answers
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
gp <-function(data)
{
p<-0.200000*tanh(((((31.006277) * ((((((data$Embarked) +…
slowmonk
- 513
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- 16
1
vote
1 answer
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 and when this two curves touch each others it means…
motevalizadeh
- 221
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- 9
1
vote
1 answer
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 them is suitable for?
In what context we choose one…
ozgur
- 225
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- 8
1
vote
0 answers
Best way to optimize problem with additively separable fitness function?
I am using a genetic algorithm to maximize a few hundred thousand real-valued variables.
Each of the variables, $x_i$, has its own independent boundary condition.
The fitness function uses each of these variables to compute another value and returns…
João Bravo
- 127
- 12
0
votes
1 answer
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 gives my GA a fitness score because the…
bigb123
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- 1
0
votes
0 answers
How to set boundaries for Primitives in Genetic Programming
my question is very simple. How can I set the boundaries to the primitives of a Genetic Programming Algo?
Le's make an example: I want as primitive the square root of a number, we know very well that this function has domain in [0,inf), so, how can…
Nathaldien
- 21
- 3
0
votes
0 answers
Implementation/Optimization of Genetic Algorithm
I have a few queries regarding my implementation of the Genetic Algorithm (GA).
I have a lot of parameters in which I have to find the best combination of these parameters to maximize the value of the function. Hence, I am using GA. The maximizing…
