genetic-algorithm

I am trying to implement non-uniform probability distribution in genetic algorithm. In the implementation of genetic program, I have an experiment which has 3 outcomes, where each outcome has different probabilities. Let say, probablity of one outcome is 0.85, other is 0.01 and last one is 0.14? P.S: i recently came to know that it is called non-uniform distribution of probability. I'm implementing it in Java, can anyone tell the theory behind non-uniform prob. distribution & also any Java packages implementing it. Feel free to ask me know, if u need any more information on the problem! Thanks

I want to automatically divide an image of ancient handwritten text by lines (and by words in future). The first obvious part is preprocessing the image... I'm just using a simple digitization (based on brightness of pixel). After that I store data into two-dimensional array. The next obvious part is analyzing the binary array. My first algorithm was pretty simple - if there are more black pixels in a row of the array than the root-mean-square of Maximum and Minimum value, then this row is part of line. After forming the list of lines I cut off lines with height that is less than average.

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? After developing my own Genetic Programming didactic application , I found a complete Genetic Programming Framework called AForge.NET Genetics . It's a part of the Aforge.NET library . It's licensed under LGPL. MSDN had an article last year about genetic programming: Genetic Algorithms: Survival of the Fittest with Windows Forms I would recommend against actually generating assemblies unless you

This is the output of what I have done till now: Although this shows only black and white images, the code works for color images too. The code basically populates the larger image using smaller images from a small database. So this is where I am stuck, rather clueless. How can I get an effect like this one. or this one . Qn1 : I need to take another input(large) image*(One for which the effect is to be seen)* and merge them, but how? Qn2 : How can I evaluate the goodness of the photo-mosaic? I have a genetic algorithm written for this but am unable to fix the fitness function,(mutation and