All Questions
Tagged with crossover-operatorsmutation-operators
10 questions
1vote
0answers
90views
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 ...
2votes
1answer
2kviews
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
0votes
1answer
85views
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?
2votes
1answer
714views
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 ...
2votes
2answers
422views
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,...
2votes
1answer
474views
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 ...
5votes
4answers
12kviews
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?
11votes
2answers
8kviews
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 "...
5votes
1answer
753views
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 ...
9votes
3answers
549views
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 ...