More important, the eoRealVectorBounds, vectorized version (a vector<eoRealBounds *>
has also become an eoPersistent object and now derives from an eoRealBaseVectorBounds
class.
A useful consequence (and actual motivatino) was to be able to have soem
eoValueParam<eoRealVectorBounds> with all possibilities for input
(see doc for Lesson4 in the tutorial for the syntax).
src/es/eoEsGlobalXover.h and src/es/eoEsLocalXover.h for crossover
src/es/make_XXX_es.h for user-input
test/t-eoEsAll.cpp to test
However, an old bug appeared: className was not const in eoGenOp (and derived classes)
so I had to change that throughtout the hierarchy
Changed es.h in src/es into make_es.h (was ambiguous with src/es.h)
Changed the interface of make_genotype - now templatized by the EOT
and not the fitness - this is mandatory for ES genoptypes as it allows to
choose the type of gentype at run-time (from existing types, of course!)
Also moved make_help.cpp into utils dir (otherwise you'd had to maintain
a copy into each representation dir!).
Apart from big changes in the src/ga dir, and the addition of the src/do dir
it also generated a few changes here and there, e.g. some include file still
missing. Also removed some warning from some test files.
To be able to use the primitive std::generate function, added a
set of wrappers in eoSTLFunctor.h that have the copy semantics most
STL functions expect (namely pass-by-value rather then pass-by-reference).
Updated test/Makefile.am to also test t-eoRandom
Also: introducing eoRndGenerators.h for eoRndGenerator derived classes:
eoNormalGenerator
eoUniformGenerator
eoBooleanGenerator
eoNegExpGenerator
Note the suffix that are added to aid in determining what these classes do
2 new important classes: eoPerf2Worth and eoSelectFromWorth
Instances of eoPerf2Worth are eoRanking and eoLinearFitScaling.
Coming soon (piece of cake now) are the niching strategies (sharing, clearing)
Changed the signature of eoMon, eoBin and eoQuadOp to return a bool,
without invalidating fitness. Added a set of invalidators to take over
that job (see for instance eoSGA and eoSGATransform how this can transparantly used)
Derived eoState from eoFunctorStore (for convenience, from a design perspective this may sound wrong)
Added a wrap_op function that does the wrapping for you (see eoOpContainer how this made this functor
exceedingly less hairy). Checked all the tests removed the eoGeneric*Op family (not needed anymore)
and of course changed all the operators to reflect the change (and found a few that didn't
invalidate the fitness, thus really pointing out the advantage of the current approach)
make check
Command I picked up in the automake documentation (RTFM, you know)
Tagged a lot of header functions in the GnuPlot files with 'inline',
so they can be used from more than one sourcefile.
Ok, now the interesting news. Started a new library libga (not to be confused
with Matthew's GaLib). Here I suggest we put a fairly complete and configurable
genetic algorithm. Just to see how far we can stretch ourselves and also to have
a GA-componenent that can be used in other applications without having to rebuild
the entire thing. test/t-eoGA.cpp tests this library
