GPLAB

代码说明：

  遗传规划matlab工具箱，可以大大提高编程的效率(Matlab genetic programming toolbox, you can greatly improve the efficiency of programming)

文件列表：

absolute.m
accuracy_complexity.m
addcredit.m
addfunctions.m
addoperators.m
addterminals.m
antfitness.m
antfoodahead.m
antif.m
antleft.m
antmove.m
antprogn2.m
antprogn3.m
antright.m
anttrail.m
applyoperator.m
applysurvival.m
automaticoperatorprobs.m
availableparams.m
availablestates.m
calcfitness.m
calcpopexpected.m
calcpopfitness.m
checkvarsdata.m
checkvarsparams.m
checkvarsstate.m
countfind.m
crossover.m
demo.m
demoant.m
demoparity.m
desired_obtained.m
drawtree.m
dyndepth.m
dynnodes.m
explode.m
exp_x.txt
exp_y.txt
findfirstindex.m
fixdec.m
fullinit.m
generation.m
genpop.m
gplab.m
gplab.manual.2.pdf
graphicscontinue.m
graphicsgenerations.m
graphicsinit.m
graphicsstart.m
growinit.m
hamming.m
heavydyndepth.m
heavydynnodes.m
implode.m
initpop.m
intrand.m
intronnodes.m
isoperator.m
isvalid.m
kozadivide.m
kozasqrt.m
lexictour.m
license.txt
maketree.m
moveadaptwindow.m
mutation.m
mydivide.m
myif.m
mylog.m
mylog10.m
mylog2.m
mypower.m
mysqrt.m
nand.m
newind.m
nodes.m
nor.m
normalize.m
operator_evolution.m
orderby.m
parity3bit_x.txt
parity3bit_y.txt
parity5bit_x.txt
parity5bit_y.txt
pickoperator.m
pickparents.m
plotpareto.m
quartic_x.txt
quartic_y.txt
rampedinit.m
rank85.m
rank89.m
ranking.m
regfitness.m
resetparams.m
resetstate.m
roulette.m
sampling.m
santafepellets.txt
santafetrail.txt