Questions tagged [mutation-operators]

For questions about methods (or operators) to mutate individuals (or chromosomes) in the context of evolutionary algorithms.

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Less mutation rate is performing better in bigger neural network

I have a genetic AI neural network that evolves every generation and can add or remove neurons and change weights. It evolves good in first generations with mutation rate probability of e.g. ...
Mahdyfo's user avatar
  • 101
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Which of these 3 mutation rates is the best in terms of performance?

I am need some comments since I am conducting experiments with 3 different mutation rates and hesitate to choose the best one. I ...
LearningLogic's user avatar
1 vote
1 answer

How to handle equality constraints in the mutation operation of evolutionary algorithms?

I am new in evolutionary algorithms field. I have a chromosome of 6 variables (real variable), where the sum of these variables is equal to 1. I am looking for mutation formulas that can generate a ...
Rahim Brahimi's user avatar
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How should the 1-point crossover and mutation be defined for the problem of finding the largest circle that does not enclose any point?

For a random scattering of points, in a bounded area, the goal is to find the largest circle that can be drawn inside those same bounds that does not enclose any points. Solving this problem with a ...
Rim Sleimi's user avatar
2 votes
1 answer

What is the impact of changing the crossover and mutation rates?

What is the impact of using a: low crossover rate high crossover rate low mutation rate high mutation rate
fathese's user avatar
  • 131
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What does "In each generation, 25% of offspring resulted from mutation without crossover" mean in the context of NEAT?

I am reading through the NEAT paper. In parameter settings, page 15, there is: In each generation, 25% of offspring resulted from mutation without crossover. What does it mean?
galaxy001's user avatar
  • 103
2 votes
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Do I have to crossover my node genes in NEAT, and how?

I'm currently trying to code the NEAT algorithm by myself, but I got stuck with two questions. Here they are: What happens if during crossover a node is removed (or disabled) and there's a connection ...
Dara Kong's user avatar
  • 115
2 votes
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How can we design the mutation and crossover operations when the order of the genes in the chromosomes matters?

Consider an optimization problem that involves a set of tasks $T = \{1,2,3,4,5\}$, where the goal is to find a certain order of these tasks. I would like to solve this problem with a genetic algorithm,...
Tariq Kavish Arain's user avatar
3 votes
1 answer

How to find optimal mutation probability and crossover probability?

I have a genetic algorithm that maximizes a fitness function with two variables f(X,Y). I have been running the algorithm with various parameters in mutation and crossover probability (0.1, 0.2, ...) ...
Pedro Martins's user avatar
2 votes
1 answer

How to handle infeasibility caused due to crossover and mutation in genetic algorithm for optimization?

I have chromosomes with floating-point representation with values between $0$ and $1$. For example Let $p_1 = [0.1, 0.2, 0.3]$ and $p_2 = [0.5, 0.6, 0.7]$ be two parents. Both comply with the set of ...
CharcoalG's user avatar
3 votes
2 answers

Why do we apply the mutation operation after generating the offspring?

Why do we apply the mutation operation after generating the offspring, in genetic algorithms?
Nimra Malik's user avatar
5 votes
4 answers

What is the difference between "mutation" and "crossover"?

In the context of evolutionary computation, in particular genetic algorithms, there are two stochastic operations "mutation" and "crossover". What are the differences between them?
Abbas Ali's user avatar
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11 votes
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How do mutation and crossover work with real-valued chromosomes?

How exactly are "mutation" and "cross-over" applied in the context of a genetic algorithm based on real numbers (as opposed to just bits)? I think I understood how those two phases are applied in a "...
danidemi's user avatar
  • 213
5 votes
1 answer

Is there an efficient way to implement a random crossover of individuals stored in a matrix?

I am using a GA to optimise an ANN in Matlab. This ANN is pretty basic (input, hidden, output) but the input size is quite large (10,000) and the output size is 2 since I have to classes of images to ...
user3952's user avatar
9 votes
3 answers

Why is cross-over a part of genetic algorithms?

Genetic Algorithms has come to my attention recently when trying to correct/improve computer opponents for turn-based strategy computer games. I implemented a simple Genetic Algorithm that didn't use ...
Mithical's user avatar
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