All Questions
6 questions
3votes
1answer
570views
What is the most computationally efficient genetic algorithm?
In researching genetic algorithms, it seems that there are various methods of selection and other operator methods that can significantly change the performance. For example, this picture contains ...
1vote
0answers
42views
Crossover method for gene value containing a set of values
I have a chromosome where each gene contain s set of values. Like the following: chromosome = [[A,B,C],[C,B,A],[C,D,],[],[E,F]] The order in each gene values matters. (A,B,C is different to A,C,B) ...
- 11
1vote
0answers
45views
How to effectively crossover mathematical curves?
I'm trying to optimize some reflective properties of curves of the form: $a_1x^n+a_2x^{n-1}+a_3x^{n-2} + ... + a_n + b_1y^n+b_2y^{n-1}+b_3y^{n-2} + ... + b_n = 0$ which is basically the curve that ...
- 111
1vote
3answers
255views
Are there clever (fitness-based) crossover operators for binary chromosomes?
While studying genetic algorithms, I've come across different crossover operations used for binary chromosomes, such as the 1-point crossover, the uniform crossover, etc. These methods usually don't ...
- 283
7votes
1answer
2kviews
Is elitism preferred over non-elitism in the cross-over operator?
There are two potential approaches when performing cross-over operation in genetic algorithms. Use only the elites in the pool, probably the ones that are also going to be directly transferred to the ...
- 405
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 ...
- 2,945
