Starting off let me clarify that i have seen This Genetic Algorithm Resource question and it does not answer my question.
I am doing a project in Bioinformatics. I have to take data about the NMR spectrum of a cell(E. Coli) and find out what are the different molecules(metabolites) present in the cell.
To do this i am going to be using Genetic Algorithms in R language. I DO NOT have the time to go through huge books on Genetic algorithms. Heck! I dont even have time to go through little books.(That is what the linked question does not answer)
So i need to know of resources which will help me understand quickly what it is Genetic Algorithms do and how they do it. I have read the Wikipedia entry ,this webpage and also a couple of IEEE papers on the subject.
Any working code in R(even in C) or pointers to which R modules(if any) to be used would be helpful.
A brief (and opinionated) introduction to genetic algorithms is at http://www.burns-stat.com/pages/Tutor/genetic.html
A simple GA written in R is available at http://www.burns-stat.com/pages/Freecode/genopt.R The "documentation" is in 'S Poetry' http://www.burns-stat.com/pages/Spoetry/Spoetry.pdf and the code.