When you're trying to do breed some really new system using Genetic Algorithms, it's possible to get some very fragile results, i.e. systems that do the job incredibly efficiently, but only under certain conditions...
This is not a problem of the Genetic Algorithm in general, this is the problem of the fitness function: The GA always tries to produce something wich gets the best out of the fitness function (e.g, a pulser with as few gates as possible). If the fitness function also uses the stability of the result in its calculations, (which it should!), the GA will try to create very stable solutions.
It would be really great for a corewar evolver, have a look at Redcode Tiny hill of evolved warriors.
There are also some links to people who evolve warriors available.
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ccache is pretty good, but not especially made for distributed compilation, but there is another project at samba.org:
distcc.
/elmartinos
It would be really great for a corewar evolver, have a look at Redcode Tiny hill of evolved warriors. There are also some links to people who evolve warriors available.