A genetic algorithm is an optimization heuristic that is inspired by the principles that drive natural evolution: mutation, recombination and selection. In comparison to traditional search methods such as hill-climbing, genetic algorithms have the ability to escape from local minima/maxima.

learn more… | top users | synonyms

0
votes
2answers
40 views

Genetic Drift Simulator - Follow Up

This question is a follow-up of a previous question of mine: Genetic Drift Simulator. Following the advice given in the last question, and some more general improvements, the code has been slimmed ...
2
votes
2answers
252 views

Genetic Drift simulator

Genetic drift — along with natural selection, mutation, and migration — is one of the basic mechanisms of evolution. In each generation, some individuals may, just by chance, leave behind a ...
5
votes
0answers
131 views

Backpropagating with Neural Network

I wrote a Java program implementing a neural network with backpropagation. For anyone who isn't familiar with Neural Networks and Backpropagation, here is a good resource. Here is another ...
3
votes
1answer
268 views

Genetic Algorithm for TSP

This is something that I am proud of and would like to have people dissect and tell me where my faults are in. I feel that if I open my best for criticism then maybe it will reveal the deep seeded bad ...
2
votes
2answers
127 views

Genetic algorithm for solving a puzzle (v. 2)

Thanks to your wonderful comments regarding the first version of my code, I have been able to improve it. This new version is more readable (I guess). The problem is that it seems to me that there is ...
8
votes
3answers
1k views

Genetic algorithm for solving a puzzle

Edit. Version 2. I am working on a genetic algorithm in order to solve a little "puzzle." Given a text file with N rows with 4 int each, the idea is to ...
14
votes
2answers
347 views

Genetic algorithm for “Hello World”

This programme uses a genetic algorithm to get the string "Hello, World!". It can be summarized as follows: Create a random initial population. Let the best ...
18
votes
2answers
559 views

Where equations are born and mutants are buried

I've read up on genetic programming yesterday so I figured I'd try to implement something myself. I would like the main focus to be on whether or not I've implemented the idea behind it correctly. ...
10
votes
1answer
300 views

Genetic algorithm for “Hello World”

I've written an Erlang implementation of the genetic algorithm for a "Hello World" program as described here. This is my first time writing any code in Erlang and also my first time writing code in a ...
12
votes
4answers
978 views

Genetic algorithm for Clever Algorithms project

I wrote a bunch of Ruby code for a book project I've just finished. One criticism is that it is fine code but not very "ruby like". I agree my style was simplified for communication reasons, and ...