Hi all,

I'm pleased to announce the second public release of charlie, a
genetic algorithms library for Ruby.

This release includes a TreeGenotype, making the library useful for
genetic programming. This is still an early version with very limited
mutation options, and I would really appreciate suggestions on how to
extend these.
It also includes several performance improvements, changes for ruby
1.9, convergence checks and improved mutator/crossover operators for
permutations.

## Ruby 1.9 Compatibility
This release is mostly compatible with Ruby 1.9.
However, there is a bug in Ruby (#16493) that makes a lot of tests,
and some benchmark examples fail.
To avoid this bug, don't have two or more results of a function that
returns a module in the same array (e.g. don't have something like
"crossover PCross(0.5,SinglePointCrossover),
PCross(0.5,UniformCrossover)" in your benchmarks).

## FEATURES:
- Quickly develop GAs by combining several parts (genotype, selection,
crossover, mutation) provided by the library.
- Sensible defaults are provided with any genotype, so often you only
need to define a fitness function.
- Easily replace any of the parts by your own code.
- Test different strategies in GA, and generate reports comparing
them.  Example report:
http://charlie.rubyforge.org/example_report.html

## EXAMPLE
This example finds a polynomial which approximates cos(x)

 class Cos < TreeGenotype([proc{3*rand-1.5},:x], [:+,:*,:-], [:-@])
   def fitness
    -[0,0.33,0.66,1].map{|x| (eval_genes(:x=>x) - Math.cos(x)).abs }.max
   end
   use TournamentSelection(4)
 end
 Population.new(Cos).evolve_on_console(500)

Several other simple examples are included in the gem/tarball.

## INSTALLATION:
* sudo gem install charlie

## Links
* http://rubyforge.org/projects/charlie/
* http://charlie.rubyforge.org

## LICENSE:
MIT license.