SBSE MOO in Few Evals: GALE

GALE = Geometric Active Learning Evolution

Hypervolume versus IBD and IBS
  -  IBD = how good we are
  -  IBS = how spread out we are
  -  Both based on IBEA indicator

More Results:

 - added some more flavors just so we have one of every cookie

Notes:

  - Left table shows the Raw Averages for everyone over 20 repeats

  - Right table uses t-statistic to generate confidence interval (99%) 

  -  7-3-2 on wins-losses-ties when only considering IBD (quality)

  - WIN or LOSS = no overlap of confidence interval
  - RRSL should be GALE, here

Analysis Notes:
  - RRSL wins badly on NumEval
  - NSGA-II outperforms RRSL in runtime for small MOPs that are cheap to evaluate.  But when models become expensive (i.e. POM2), NSGA-II becomes slow and RRSL wins in runtime
  - RRSL is a very decision-sided routine.  For ZDT1 (30 decisions) and osyzcka2( 5 decisions ), the runtime of RRSL is punished

Paper "3/4 Draft":
 - nothing in here, yet: http://unbox.org/things/var/joe/active/
 - promise to be integrated in linux/latex fully by full draft time
 - https://www.dropbox.com/s/y9ey0hr6agsolzt/solving_problems_in_few_evaluations.pdf?m