genetic-algorithm

Genetic algorithms (GA) and genetic programming (GP) are interesting areas of research. I'd like to know about specific problems you 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 use? I'm looking for first-hand experiences, so please do not answer unless you have that. Not homework. My first job as a professional programmer (1995) was writing a genetic-algorithm based automated trading system for S&P500 futures. The application was written in Visual Basic 3 [!]

I'm writing a scheduling program with a difficult programming problem. There are several events, each with multiple meeting times. I need to find an arrangement of meeting times such that each schedule contains any given event exactly once, using one of each event's multiple meeting times. Obviously I could use brute force, but that's rarely the best solution. I'm guessing this is a relatively basic computer science problem, which I'll learn about once I am able to start taking computer science classes. In the meantime, I'd prefer any links where I could read up on this, or even just a name I

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. Jarod Elliott It's been a few years since i've done this myself, however the following pseudo code was found easily enough on google. for all members of population sum += fitness of this individual end for for all members of population probability = sum of probabilities + (fitness / sum) sum of probabilities += probability end for loop until new population is full do this twice number = Random

This question already has an answer here: Roulette Selection in Genetic Algorithms 13 answers 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. The other answers seem to be assuming that you are trying to implement a roulette game. I think that you are asking about roulette wheel selection in evolutionary algorithms. Here is some Java code that implements roulette wheel selection. Assume you have 10 items to choose from and you choose by generating a

I'm new to neural networks/machine learning/genetic algorithms, and for my first implementation I am writing a network that learns to play snake ( An example in case you haven't played it before ) I have a few questions that I don't fully understand: Before my questions I just want to make sure I understand the general idea correctly. There is a population of snakes, each with randomly generated DNA. The DNA is the weights used in the neural network. Each time the snake moves, it uses the neural net to decide where to go (using a bias). When the population dies, select some parents (maybe