Genetic algorithm resource [closed]

Question

Lately I'm interested in the topic of genetic algorithms, but I couldn't find any good resource. If you know any good resource, book or a site I would appreciate it. I have solid knowledge of algorithms and Artificial Intelligence but I'm looking for something with good introduction in Genetic Programming.

Answer 1

Here is Roger Alsing's recent article about building "Mona Lisa's picture" with a genetic algorithm :http://rogeralsing.com/2008/12/07/genetic-programming-evolution-of-mona-lisa/

Edited to remove hot link to the picture See: http://rogeralsing.files.wordpress.com/2008/12/evolutionofmonalisa1.gif

I've implemented my own version of this algorithm:

http://23.media.tumblr.com/NngfN9gsDhlsyws3NvFcuHfgo1_400.png http://23.media.tumblr.com/NngfN9gsDhlsyws3NvFcuHfgo1_400.png

See http://plindenbaum.blogspot.com/2008/12/random-notes-2008-12.html

Answer 2

'An Introduction to Genetic Algorithms' http://www.burns-stat.com/pages/Tutor/genetic.html

Answer 3

If I may plug one of my favorite books, The Algorithm Design Manual by Steve Skiena has a great section on genetic algorithms (plus a lot of other interesting heuristics for solving various types of problems).

Answer 4

I implemented a Genetic Algorithm with java generics. https://github.com/juanmf/ga

It will apply the 3 operators (Mutation, crossing, Selection), and evolve a population, given the concrete implementations of Individual, Gen, FitnessMeter and factories exposed as spring beans.

/*This is all you have to add to the Spring App context 
 * before running the application
 */
@Configuration
public class Config {

    @Bean(name="individualFactory")
    public IndividualFactory getIndividualFactory() {
        return new Team.TeamFactory();
    }

    @Bean(name="populationFactory")
    public PopulationFactory getPopulationFactory() {
        return new Team.TeamPopulationFactory();
    }

    @Bean(name="fitnessMeter")
    public FitnessMeter getFitnessMeter() {
        System.out.println("getFitnessMeter");
        return new TeamAptitudeMeter();
    }
}

This is the design, inside grandt there is an implementation of a specific problem solution, as an example.

Answer 5

For an introductory approach (with an application to the Prisoner's Dilemma), see into:

http://www2.econ.iastate.edu/tesfatsi/holland.gaintro.htm

Answer 6

This is a nice free book on the subject

http://www.lulu.com/items/volume_63/2167000/2167025/2/print/book.pdf