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ECJ-INTEREST-L  May 2008

ECJ-INTEREST-L May 2008

Subject:

Fun experiment

From:

Sean Luke <[log in to unmask]>

Reply-To:

ECJ Evolutionary Computation Toolkit <[log in to unmask]>

Date:

Mon, 26 May 2008 22:21:40 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (195 lines)

It occurred to me that if you readjusted all the parameters to use  
defaults rather than absolute parameter values, you could plausibly  
run multiple simultaneous runs in parallel -- just put each one in a  
different subpopulation.  To do this required one modification of  
Population.java, which is now on CVS, adding a new parameter  
"pop.default-subpop".

Below is Artificial Ant with 10 simultaneous 512-individual  
subpopulations running in parallel.  Memory will no doubt be an  
issue.  But it runs, given enough bytes.

Sean


#### Basic ECJ parameters
verbosity = 				0
evalthreads = 				1
breedthreads = 				1
seed.0 = 				time
checkpoint = 				false
checkpoint-modulo			1
prefix =				ec

state = 				ec.simple.SimpleEvolutionState
init = 					ec.gp.GPInitializer
finish = 	        		ec.simple.SimpleFinisher
exch = 					ec.simple.SimpleExchanger
breed =					ec.simple.SimpleBreeder
eval =					ec.simple.SimpleEvaluator
stat = 					ec.gp.koza.KozaStatistics
stat.file				$out.stat

generations =				51
quit-on-run-complete =			true


##### Population parameters
pop = 					ec.Population
pop.subpops =				10
pop.default-subpop = 			ec.Subpopulation

##### Subpopulation parameters
ec.subpop.size =			512
ec.subpop.duplicate-retries = 		100
ec.subpop.species =			ec.gp.GPSpecies
gp.species.pipe = 			ec.breed.MultiBreedingPipeline

##### Species parameters
gp.species.fitness = 			ec.gp.koza.KozaFitness
gp.species.ind = 			ec.gp.GPIndividual

##### GPIndividual parameters
gp.individual.numtrees = 		1
gp.individual.tree.0 = 			ec.gp.GPTree

##### GPTree parameters
gp.tree.tc = 				tc0

##### MultiBreedingPipeline parameters
breed.multibreed.generate-max = 	false
breed.multibreed.num-sources = 		2
breed.multibreed.source.0 = 		ec.gp.koza.CrossoverPipeline
breed.multibreed.source.1 = 		ec.breed.ReproductionPipeline

##### Crossover parameters
gp.koza.xover.prob =			0.9
gp.koza.xover.source.0 = 		ec.select.TournamentSelection
gp.koza.xover.source.1 = 		same
gp.koza.xover.ns.0 = 			ec.gp.koza.KozaNodeSelector
gp.koza.xover.ns.1 = 			same
gp.koza.xover.maxdepth = 		17
gp.koza.xover.tries = 			1

##### Reproduction parameters
breed.reproduce.prob = 			0.1
breed.reproduce.source.0 = 		ec.select.TournamentSelection

##### TournamentSelection parameters
select.tournament.size = 		7

##### GPProblem parameters
eval.problem.stack = 			ec.gp.ADFStack
eval.problem.stack.context = 		ec.gp.ADFContext

##### KozaNodeSelector parameters
gp.koza.ns.terminals = 			0.1
gp.koza.ns.nonterminals = 		0.9
gp.koza.ns.root = 			0.0

##### GPFunctionSet parameters
gp.fs.size = 				1
gp.fs.0 = 				ec.gp.GPFunctionSet
gp.fs.0.name = 				f0

##### GPType parameters
gp.type.a.size = 			1
gp.type.a.0.name = 			nil
gp.type.s.size = 			0

##### GPTreeConstraints parameters
gp.tc.size = 				1
gp.tc.0 = 				ec.gp.GPTreeConstraints
gp.tc.0.name = 				tc0
gp.tc.0.fset = 				f0
gp.tc.0.returns = 			nil
gp.tc.0.init = 				ec.gp.koza.HalfBuilder

##### HalfBuilder parameters
gp.koza.half.min-depth = 		2
gp.koza.half.max-depth = 		6
gp.koza.half.growp = 			0.5

##### GPNodeConstraints parameters
gp.nc.size = 				7

gp.nc.0 = 				ec.gp.GPNodeConstraints
gp.nc.0.name = 				nc0
gp.nc.0.returns = 			nil
gp.nc.0.size = 				0

gp.nc.1 = 				ec.gp.GPNodeConstraints
gp.nc.1.name = 				nc1
gp.nc.1.returns = 			nil
gp.nc.1.size = 				1
gp.nc.1.child.0 = 			nil

gp.nc.2 = 				ec.gp.GPNodeConstraints
gp.nc.2.name = 				nc2
gp.nc.2.returns = 			nil
gp.nc.2.size = 				2
gp.nc.2.child.0 = 			nil
gp.nc.2.child.1 = 			nil

gp.nc.3 = 				ec.gp.GPNodeConstraints
gp.nc.3.name = 				nc3
gp.nc.3.returns = 			nil
gp.nc.3.size = 				3
gp.nc.3.child.0 = 			nil
gp.nc.3.child.1 = 			nil
gp.nc.3.child.2 = 			nil

gp.nc.4 = 				ec.gp.GPNodeConstraints
gp.nc.4.name = 				nc4
gp.nc.4.returns = 			nil
gp.nc.4.size = 				4
gp.nc.4.child.0 = 			nil
gp.nc.4.child.1 = 			nil
gp.nc.4.child.2 = 			nil
gp.nc.4.child.3 = 			nil

gp.nc.5 = 				ec.gp.GPNodeConstraints
gp.nc.5.name = 				nc5
gp.nc.5.returns = 			nil
gp.nc.5.size = 				5
gp.nc.5.child.0 = 			nil
gp.nc.5.child.1 = 			nil
gp.nc.5.child.2 = 			nil
gp.nc.5.child.3 = 			nil
gp.nc.5.child.4 = 			nil

gp.nc.6 = 				ec.gp.GPNodeConstraints
gp.nc.6.name = 				nc6
gp.nc.6.returns = 			nil
gp.nc.6.size = 				6
gp.nc.6.child.0 = 			nil
gp.nc.6.child.1 = 			nil
gp.nc.6.child.2 = 			nil
gp.nc.6.child.3 = 			nil
gp.nc.6.child.4 = 			nil
gp.nc.6.child.5 = 			nil



###### Artificial Ant #######

gp.fs.0.func.0 = ec.app.ant.func.Left
gp.fs.0.func.0.nc = nc0
gp.fs.0.func.1 = ec.app.ant.func.Right
gp.fs.0.func.1.nc = nc0
gp.fs.0.func.2 = ec.app.ant.func.Move
gp.fs.0.func.2.nc = nc0
gp.fs.0.func.3 = ec.app.ant.func.IfFoodAhead
gp.fs.0.func.3.nc = nc2
gp.fs.0.func.4 = ec.app.ant.func.Progn2
gp.fs.0.func.4.nc = nc2
gp.fs.0.func.5 = ec.app.ant.func.Progn3
gp.fs.0.func.5.nc = nc3

eval.problem = ec.app.ant.Ant
eval.problem.data = ec.app.ant.AntData
eval.problem.stack.context.data = ec.app.ant.AntData

gp.fs.0.size = 6
eval.problem.moves = 400
eval.problem.file = santafe.trl

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