These days, I wrote a simple genetic algorithm in Javascript, runing at browser, and at server (Node.js), even with distributed load (see https://github.com/ajlopez/SimpleGA) I should write a post about that code (my previous posts with experiments in C#), but first, I want to share some of my genetic algorithm links:
http://en.wikipedia.org/wiki/Genetic_algorithm
In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Robocode with JGAP
http://jgap.sourceforge.net/doc/robocode/robocode.html
Andy’s Genetic Programming- GPQuick and Doodle Garde
https://www.assembla.com/wiki/show/bhmk_e1jWr3zqkab7jnrAJ/bhmk_e1jWr3zqkab7jnrAJ
Genetic Algorithms: Cool Name & Damn Simple
http://dev.lethain.com/genetic-algorithms-cool-name-damn-simple/
Local Optimization Software
http://www.mat.univie.ac.at/~neum/glopt/software_l.html
E-Book "Global Optimization Algorithms — Theory and Application"
http://www.it-weise.de/projects/
This book elaborates on many of the basic principles in global optimization, Evolutionary Algorithms, and Genetic Programming.
Evolvable Hardware
http://pages.cpsc.ucalgary.ca/~jacob/Courses/Winter2003/CPSC601-73/Slides/10-EvolvableHardware.pdf
Genetic A/B Testing with JavaScript
http://ejohn.org/blog/genetic-ab-testing-with-javascript/
Introduction to Genetic Algorithms
http://www.rennard.org/alife/english/gavintrgb.html
Genetic Programming: Evolution of Mona Lisa
http://rogeralsing.com/2008/12/07/genetic-programming-evolution-of-mona-lisa/
Time for Genetic Programming?
http://blog.assembla.com/assemblablog/tabid/12618/bid/5680/Time-for-Genetic-Programming.aspx
Help! My Product Development is Going TOO FAST
http://blog.assembla.com/assemblablog/tabid/12618/bid/2448/Help-My-Product-Development-is-Going-TOO-FAST.aspx
Use evolution: We can build a machine that evolves the product by user-testing variations.
Discipulus 5 Genetic Programming Predictive Modelling
http://www.rmltech.com/
Genetic Algorithm Library
http://www.codeproject.com/Articles/26203/Genetic-Algorithm-Library
A FIELD GUIDE TO GENETIC PROGRAMMING
http://www.gp-field-guide.org.uk/
Genetic Algorithms
http://www.aiai.ed.ac.uk/technology/geneticalgorithms.html
An Introduction to Genetic Algorithms In Java
http://java.sys-con.com/node/36224
Survival of the Fittest: Natural Selection with Windows Forms
http://msdn.microsoft.com/en-us/magazine/cc163934.aspx
What is Genetic Programming?
http://www.genetic-programming.com/gpanimatedtutorial.html
Genetic Algorithms
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/tcw2/report.html
Global Optimization Toolbox
http://www.mathworks.com/products/global-optimization/index.html
Travelling salesman problem
http://en.wikipedia.org/wiki/Traveling_Salesman_Problem
GAlib
A C++ Library of Genetic Algorithm Components
http://lancet.mit.edu/ga/
My Links
http://delicious.com/ajlopez/geneticalgorithms
Keep tuned!
Angel “Java” Lopez
http://www.ajlopez.com
http://twitter.com/ajlopez
Pingback: Genetic Algorithms: Links And Resources (2) « Angel ”Java” Lopez on Blog
Excellent post but I was wondering if you could write a litte more on this subject?
I’d be very thankful if you could elaborate a little bit more. Cheers!
It’s actually very complicated in this busy life to listen news on TV, so I simply use web for that purpose, and take the most up-to-date information.