Class: ParetoGPSimplified
- Inherits:
-
AlgorithmBase
- Object
- AlgorithmBase
- ParetoGPSimplified
- Includes:
- PhenotypicTruncation
- Defined in:
- ../algorithm/paretogp_simplified.rb
Instance Attribute Summary (collapse)
-
- (Object) archive_size
Returns the value of attribute archive_size.
-
- (Object) generations_per_cascade
Returns the value of attribute generations_per_cascade.
-
- (Object) mutation_probability
Returns the value of attribute mutation_probability.
-
- (Object) tournament_size
Returns the value of attribute tournament_size.
Attributes included from PhenotypicTruncation
#duplicate_elimination, #shorten_individual
Attributes inherited from AlgorithmBase
#init, #population_size, #probabilities, #termination
Instance Method Summary (collapse)
Methods included from PhenotypicTruncation
#eliminate_duplicates, #phenotypic_truncation
Methods inherited from AlgorithmBase
Instance Attribute Details
- (Object) archive_size
Returns the value of attribute archive_size
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# File '../algorithm/paretogp_simplified.rb', line 8 def archive_size @archive_size end |
- (Object) generations_per_cascade
Returns the value of attribute generations_per_cascade
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# File '../algorithm/paretogp_simplified.rb', line 8 def generations_per_cascade @generations_per_cascade end |
- (Object) mutation_probability
Returns the value of attribute mutation_probability
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# File '../algorithm/paretogp_simplified.rb', line 8 def mutation_probability @mutation_probability end |
- (Object) tournament_size
Returns the value of attribute tournament_size
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# File '../algorithm/paretogp_simplified.rb', line 8 def tournament_size @tournament_size end |
Instance Method Details
- (Object) setup(config)
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# File '../algorithm/paretogp_simplified.rb', line 10 def setup config super @population_tourney = ParetoTourney.new @population_tourney.tournament_size = @tournament_size @population = [] @archive = load_or_init( @store, @archive_size ) @steps = 0 @generation = 0 return @report end |
- (Object) step
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# File '../algorithm/paretogp_simplified.rb', line 31 def step @report.next @report << "--------- step #{@steps += 1}, generation #{@generation}" # init population if @generation == 0 @report << "initializing population" @population = [] init_population( @population, @population_size ) end # create a new population from the current one population_pipe = [] archive_pipe = [] new_population = [] while new_population.size < @population_size population_pipe = @population_tourney.select_front @population while population_pipe.empty? archive_pipe = Util.permutate @archive while archive_pipe.empty? parent1, parent2 = [ population_pipe.shift, archive_pipe.shift ] chromozome1, chromozome2 = @crossover.crossover( parent1.genotype, parent2.genotype, parent1.track_support, parent2.track_support ) individual = @cfg.factory( 'individual', @mapper, chromozome1 ) if individual.valid? and rand < @mutation_probability chromozome1 = @mutation.mutation( chromozome1, individual.track_support ) individual = @cfg.factory( 'individual', @mapper, chromozome1 ) end new_population << individual if individual.valid? individual = @cfg.factory( 'individual', @mapper, chromozome2 ) new_population << individual if individual.valid? end @evaluator.run new_population if defined? @evaluator @population = new_population # keep population extremes @population.first.objective_symbols.each do |obj| best = Pareto.objective_best( @population, @population.first.class, obj ) @archive.push best @report['pop_best_' + obj.to_s] << best.send(obj) end if @generation == @generations_per_cascade # archive merging @archive = phenotypic_truncation( Pareto.nondominated( @archive ), @archive_size ) @report.report @archive @generation = 0 else @generation += 1 end # consolidation return @report end |
- (Object) teardown
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# File '../algorithm/paretogp_simplified.rb', line 25 def teardown @report << "--------- finished:" @store.save @archive return @report end |