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Questions tagged [genetic-programming]

For questions related to genetic programming, a subset of evolutionary algorithms (so they are also inspired by natural evolution) that evolve programs or functions.

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Is it normal to get zero error for a class in a binary classification problem using Genetic Programming?

I am trying to do highly unbalanced binary classification using Linear Genetic Programming to detect a certain spoken word. I use mel coefficients as features. The instructions include basic ...
Farooq Karimi Zadeh's user avatar
2votes
2answers
150views

Creating a genetic algorithm crossover function for 1:1 maps

I am trying to implement a crossover function for a genetic algorithm. V is a set of nodes. Just consider each node a unique string. $V_M$ and $V_F$ are each a set of nodes with no element in ...
Paul Reiners's user avatar
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1answer
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Equivalent of symbolic regression but for code instead of math expression

I'm already well versed with Genetic/Memetic algorithms and similar algorithms. I know about Symbolic regression, where some dataset is fitted through a math expression evolution, but I'm wondering, ...
Nordine Lotfi's user avatar
1vote
1answer
132views

Is there any advantage of genetic algorithm (or programming) over Neural Networks? [closed]

I am planning to switch from neural networks to genetic algorithms (GA) and programming (GP). One of the main hassles of working with neural networks is that it requires a large amount of training ...
user366312's user avatar
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1answer
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how to apply crossover and mutation rates in genetic algorithm?

I'm working with genetic programming and let's say I have the following operator: pop_size = 100 Crossover ratio = 0.4 Mutation Ratio = 0.2 Selection Ratio = 0.1 What is exactly the next generation ...
CTMA's user avatar
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Is there anything remotely as successful as backprop, but for training programs, not neural networks?

Backprop is used to train deep neural networks to remarkable success. Deep neural networks, on the other hands, can be seen as as a specific kind of computer function that receives inputs and produces ...
MaiaVictor's user avatar
2votes
1answer
72views

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 ...
SandTh's user avatar
1vote
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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 ...
Flux's user avatar
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How to represent multiple-output logic circuits in tree-based genetic programming

Consider the following digital logic circuit, which has multiple inputs and one output: The logic circuit above can be represented in tree form: This tree representation could then be used in a tree-...
Flux's user avatar
  • 123
1vote
1answer
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What exactly is the population in the problem of finding the best path in a network of nodes using genetic algorithms?

I have 17 nodes in my network with 3000 different paths in total. I have to select the path with highest available bandwidth, using genetic algorithm. I'm confused about the approach! Should I have ...
shadi's user avatar
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How can I select features for a symbolic regression problem to be solved with genetic programming?

I want to solve a symbolic regression problem with genetic programming. My dataset is similar to this one, but I have 30 features, and I want to use only the most sensitive features. I found this ...
Roman's user avatar
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1answer
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Are Genetic Algorithms suitable for problems like the Knuth problem?

We all know that Genetic Algorithms can give an optimal or near-optimal solution. So, in some problems like NP-hard ones, with a trade-off between time and optimal solution the near-optimal solution ...
yaminoyuki's user avatar
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1answer
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What is a codon in grammatical evolution?

The term codon is used in the context of grammatical evolution (GE), sometimes, without being explicitly defined. For example, it is used in this paper, which introduces and describes PonyGE 2, a ...
nbro's user avatar
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7votes
2answers
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Why is creating an AI that can code a hard task?

For people who have experience in the field, why is creating AI that has the ability to write programs (that are syntactically correct and useful) a hard task? What are the barriers/problems we have ...
Landon G's user avatar
2votes
1answer
611views

How can I develop a genetic algorithm with a constraint on the sum of alleles?

I'm working on a genetic algorithm with a constraint on the sum of the alleles, e.g. if we use regular binary coding and a chromosome is 5-bits long I'd like to constrain it so that the sum of the ...
Mark's user avatar

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