update pom
Merge branch 'master' into hadoop-job/adjustable-inertial-graph
AdjustableInertialGraph job
Tweak the pom
Rename profile to "cdh4"
Launch configuration for cdh4
Launch configuration for AWS
Add seed.txt
Try to reduce the memory by not running parallel graphs
Re-use the same graph over the whole lifespan of the mapper
Fix set-cost method
Make the seed file bigger (duplicating the single seed value) so hadoop
runs don't start so slow.
Fix graph size
Normalize the parameters.  Change random distribution.
Use addition in addition to multiplication for permutation of parameters
Reduce input size to 64kb
Normalize using Math.abs
Bound permutations to 0 <= p <= 1
Get rid of the OpQueue pumping in the mapper; parallelizing a mapper
makes no sense when you already have more mappers than CPUs.
Re-evaluate the un-permuted param too.
Have the reducer dump the survivors from each generation.
Reduce default input size to 32kb