Genetic Programming in C#
I've been looking for some good genetic programming examples for C#. Anyone knows of good online/book resources? Wonder if there is a C# library out there for Evolutionary/Genetic programming? ...
evolutionary-algorithm
Evolutionary Algorithms: Optimal Repopulation Breakdowns
It's really all in the title, but here's a breakdown for anyone who is interested in Evolutionary Algorithms: In an EA, the basic premise is that you randomly generate a certain number of organisms (which are really just sets of parameters), run them against a problem, and then let the top performers survive. You then repopulate with ...
Roulette Selection in Genetic Algorithms
Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don't really understand how to read this math notation. I never took any probability or statistics. ...
Looking for evolutionary music example code
I would like to implement an interactive evolutionary algorithm for generating music (probably just simple melodies to start with). I'd like to use JFugue for this. Its website claims that it is well-suited to evolutionary music, but I can't find any evolutionary examples. I already have a framework to provide the evolutonary machiner...
Roulette wheel selection algorithm
Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don't really understand how to read this math notation.I want General algorithm to this. ...
Are evolutionary algorithms and neural networks used in the same problem domains?
I am trying to get a feel for the difference between the various classes of machine-learning algorithms. I understand that the implementations of evolutionary algorithms are quite different from the implementations of neural networks. However, they both seem to be geared at determining a correlation between inputs and outputs from a...
Novel fitness measure for evolutionary image matching simulation
I'm sure many people have already seen demos of using genetic algorithms to generate an image that matches a sample image. You start off with noise, and gradually it comes to resemble the target image more and more closely, until you have a more-or-less exact duplicate. All of the examples I've seen, however, use a fairly straightforwar...
What problems have you solved using genetic algorithms/genetic programming?
Genetic algorithms (GA) and genetic programming (GP) are interesting areas of research. I'd like to know about specific problems you - the SO reader - have solved using GA/GP and what libraries/frameworks you used if you didn't roll your own. Questions: What problems have you used GA/GP to solve? What libraries/frameworks did you us...
What problems have you solved using artificial neural networks?
I'd like to know about specific problems you - the SO reader - have solved using artificial neural network techniques and what libraries/frameworks you used if you didn't roll your own. Questions: What problems have you used artificial neural networks to solve? What libraries/frameworks did you use? I'm looking for first-hand exper...
GA written in Java
I am attempting to write a Genetic Algorithm based on techniques I had picked up from the book "AI Techniques for Game Programmers" that uses a binary encoding and fitness proportionate selection (also known as roulette wheel selection) on the genes of the population that are randomly generated within the program in a two-dimensional arr...
Determining which inputs to weigh in an evolutionary algorithm
I once wrote a Tetris AI that played Tetris quite well. The algorithm I used (described in this paper) is a two-step process. In the first step, the programmer decides to track inputs that are "interesting" to the problem. In Tetris we might be interested in tracking how many gaps there are in a row because minimizing gaps could help pl...
Code bacteria: evolving mathematical behavior
It would not be my intention to put a link on my blog, but I don't have any other method to clarify what I really mean. The article is quite long, and it's in three parts (1,2,3), but if you are curious, it's worth the reading. A long time ago (5 years, at least) I programmed a python program which generated "mathematical bacteria". The...
What is a good genetic algorithm (GA) or particle swarm optimisation (PSO) framework to use for .NET?
I would like to know what is a good, stable, framework that you guys suggest for implementing evolutionary optimisation techniques like PSO or GA? I have written my own ones and I like them, I would be interested in comparing or adding to existing stable ones (or just using them if they are solid and extensible). ...
What are The opencv function useful for 2d skeleton estimation(ofRecursive centroids)
Possible Duplicate: Which is the best algorithm to Estimate and Visulize 2d skeleton using Opencv from the drawn contour Opencv functions or stepts for 2d skeleton estimation ...
Implementing crossover in genetic programming
Hi, I'm writing a genetic programming (GP) system (in C but that's a minor detail). I've read a lot of the literature (Koza, Poli, Langdon, Banzhaf, Brameier, et al) but there are some implementation details I've never seen explained. For example: I'm using a steady state population rather than a generational approach, primarily to use...
Genetic/Evolutionary algorithms and local minima/maxima problem
I have run across several posts and articles that suggests using things like simulated annealing to avoid the local minima/maxima problem. I don't understand why this would be necessary if you started out with a sufficiently large random population. Is it just another check to insure that the initial population was, in fact, sufficient...
Suggested GA operators for a TSP problem?
I'm building a genetic algorithm to tackle the traveling salesman problem. Unfortunately, I hit peaks that can sustain for over a thousand generations before mutating out of them and getting better results. What crossover and mutation operators generally do well in this case? ...
problem with evolutionary algorithms degrading into simulated annealing: mutation too small?
i have a problem understanding evolutionary algorithms. i tried using this technique several times, but i always ran into the same problem: degeneration into simulated annealing. lets say my initial population, with fitness in brackets, is: A (7), B (9), C (14), D (19) after mating and mutation i have following children: AB (8.3), AC...
Setting up java configurations in eclipse. multiple .param files
I'm going to be using ECJ for doing genetic programming and I haven't touched java in years. I'm working on setting up the eclipse environment and I'm catching a few snags. The ECJ source has several packages, and several sample programs come along with it. I ran one sample program (called tutorial1) by going to the run configurations...
Machine Learning Algorithm for Predicting Order of Events?
Simple machine learning question. Probably numerous ways to solve this: There is an infinite stream of 4 possible events: 'event_1', 'event_2', 'event_4', 'event_4' The events do not come in in completely random order. We will assume that there are some complex patterns to the order that most events come in, and the rest of the event...