[yul-phaser] Add options for selecting crossover operator used by the algorithms

This commit is contained in:
Kamil Śliwak 2020-03-11 03:39:29 +01:00
parent ad89b477c8
commit d9e2735361
6 changed files with 68 additions and 3 deletions

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@ -51,6 +51,8 @@ protected:
/* mutationChance = */ 0.0,
/* deletionChance = */ 0.0,
/* additionChance = */ 0.0,
/* CrossoverChoice = */ CrossoverChoice::SinglePoint,
/* uniformCrossoverSwapChance= */ 0.5,
};
};
@ -113,6 +115,8 @@ BOOST_FIXTURE_TEST_CASE(runNextRound_should_preserve_elite_and_regenerate_rest_o
/* deletionVsAdditionChance = */ 1.0,
/* percentGenesToRandomise = */ 0.0,
/* percentGenesToAddOrDelete = */ 1.0,
/* CrossoverChoice = */ CrossoverChoice::SinglePoint,
/* uniformCrossoverSwapChance= */ 0.5,
};
GenerationalElitistWithExclusivePools algorithm(options);
@ -133,6 +137,8 @@ BOOST_FIXTURE_TEST_CASE(runNextRound_should_not_replace_elite_with_worse_individ
/* deletionVsAdditionChance = */ 0.0,
/* percentGenesToRandomise = */ 0.0,
/* percentGenesToAddOrDelete = */ 1.0,
/* CrossoverChoice = */ CrossoverChoice::SinglePoint,
/* uniformCrossoverSwapChance= */ 0.5,
};
GenerationalElitistWithExclusivePools algorithm(options);
@ -152,6 +158,8 @@ BOOST_FIXTURE_TEST_CASE(runNextRound_should_generate_individuals_in_the_crossove
/* deletionVsAdditionChance = */ 0.5,
/* percentGenesToRandomise = */ 1.0,
/* percentGenesToAddOrDelete = */ 1.0,
/* CrossoverChoice = */ CrossoverChoice::SinglePoint,
/* uniformCrossoverSwapChance= */ 0.5,
};
GenerationalElitistWithExclusivePools algorithm(options);
@ -179,6 +187,8 @@ BOOST_FIXTURE_TEST_CASE(runNextRound_should_generate_individuals_in_the_crossove
/* deletionVsAdditionChance = */ 0.0,
/* percentGenesToRandomise = */ 0.0,
/* percentGenesToAddOrDelete = */ 0.0,
/* CrossoverChoice = */ CrossoverChoice::SinglePoint,
/* uniformCrossoverSwapChance= */ 0.5,
};
GenerationalElitistWithExclusivePools algorithm(options);

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@ -45,6 +45,8 @@ protected:
/* algorithm = */ Algorithm::Random,
/* minChromosomeLength = */ 50,
/* maxChromosomeLength = */ 100,
/* CrossoverChoice = */ CrossoverChoice::Uniform,
/* uniformCrossoverSwapChance = */ 0.5,
/* randomElitePoolSize = */ 0.5,
/* gewepMutationPoolSize = */ 0.1,
/* gewepCrossoverPoolSize = */ 0.1,
@ -121,6 +123,9 @@ BOOST_FIXTURE_TEST_CASE(build_should_select_the_right_algorithm_and_pass_the_opt
auto gewepAlgorithm = dynamic_cast<GenerationalElitistWithExclusivePools*>(algorithm2.get());
BOOST_REQUIRE(gewepAlgorithm != nullptr);
BOOST_TEST(gewepAlgorithm->options().crossover == m_options.crossover);
BOOST_TEST(gewepAlgorithm->options().uniformCrossoverSwapChance.has_value());
BOOST_TEST(gewepAlgorithm->options().uniformCrossoverSwapChance.value() == m_options.uniformCrossoverSwapChance);
BOOST_TEST(gewepAlgorithm->options().mutationPoolSize == m_options.gewepMutationPoolSize);
BOOST_TEST(gewepAlgorithm->options().crossoverPoolSize == m_options.gewepCrossoverPoolSize);
BOOST_TEST(gewepAlgorithm->options().randomisationChance == m_options.gewepRandomisationChance);
@ -134,6 +139,8 @@ BOOST_FIXTURE_TEST_CASE(build_should_select_the_right_algorithm_and_pass_the_opt
auto classicAlgorithm = dynamic_cast<ClassicGeneticAlgorithm*>(algorithm3.get());
BOOST_REQUIRE(classicAlgorithm != nullptr);
BOOST_TEST(classicAlgorithm->options().uniformCrossoverSwapChance.has_value());
BOOST_TEST(classicAlgorithm->options().uniformCrossoverSwapChance.value() == m_options.uniformCrossoverSwapChance);
BOOST_TEST(classicAlgorithm->options().elitePoolSize == m_options.classicElitePoolSize);
BOOST_TEST(classicAlgorithm->options().crossoverChance == m_options.classicCrossoverChance);
BOOST_TEST(classicAlgorithm->options().mutationChance == m_options.classicMutationChance);

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@ -96,7 +96,10 @@ Population GenerationalElitistWithExclusivePools::runNextRound(Population _popul
geneAddition(m_options.percentGenesToAddOrDelete)
)
);
std::function<Crossover> crossoverOperator = randomPointCrossover();
std::function<Crossover> crossoverOperator = buildCrossoverOperator(
m_options.crossover,
m_options.uniformCrossoverSwapChance
);
return
_population.select(elitePool) +
@ -111,10 +114,15 @@ Population ClassicGeneticAlgorithm::runNextRound(Population _population)
Population selectedPopulation = select(_population, rest.individuals().size());
std::function<SymmetricCrossover> crossoverOperator = buildSymmetricCrossoverOperator(
m_options.crossover,
m_options.uniformCrossoverSwapChance
);
Population crossedPopulation = Population::combine(
selectedPopulation.symmetricCrossoverWithRemainder(
PairsFromRandomSubset(m_options.crossoverChance),
symmetricRandomPointCrossover()
crossoverOperator
)
);

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@ -130,6 +130,8 @@ public:
double deletionVsAdditionChance; ///< The chance of choosing @a geneDeletion as the mutation if randomisation was not chosen.
double percentGenesToRandomise; ///< The chance of any given gene being mutated in gene randomisation.
double percentGenesToAddOrDelete; ///< The chance of a gene being added (or deleted) in gene addition (or deletion).
CrossoverChoice crossover; ///< The crossover operator to use.
std::optional<double> uniformCrossoverSwapChance; ///< Chance of a pair of genes being swapped in uniform crossover.
bool isValid() const
{
@ -140,6 +142,7 @@ public:
0 <= deletionVsAdditionChance && deletionVsAdditionChance <= 1.0 &&
0 <= percentGenesToRandomise && percentGenesToRandomise <= 1.0 &&
0 <= percentGenesToAddOrDelete && percentGenesToAddOrDelete <= 1.0 &&
0 <= uniformCrossoverSwapChance && uniformCrossoverSwapChance <= 1.0 &&
mutationPoolSize + crossoverPoolSize <= 1.0
);
}
@ -185,6 +188,8 @@ public:
double mutationChance; ///< The chance of a particular gene being randomised in @a geneRandomisation mutation.
double deletionChance; ///< The chance of a particular gene being deleted in @a geneDeletion mutation.
double additionChance; ///< The chance of a particular gene being added in @a geneAddition mutation.
CrossoverChoice crossover; ///< The crossover operator to use
std::optional<double> uniformCrossoverSwapChance; ///< Chance of a pair of genes being swapped in uniform crossover.
bool isValid() const
{
@ -193,7 +198,8 @@ public:
0 <= crossoverChance && crossoverChance <= 1.0 &&
0 <= mutationChance && mutationChance <= 1.0 &&
0 <= deletionChance && deletionChance <= 1.0 &&
0 <= additionChance && additionChance <= 1.0
0 <= additionChance && additionChance <= 1.0 &&
0 <= uniformCrossoverSwapChance && uniformCrossoverSwapChance <= 1.0
);
}
};

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@ -78,6 +78,14 @@ map<MetricAggregatorChoice, string> const MetricAggregatorChoiceToStringMap =
};
map<string, MetricAggregatorChoice> const StringToMetricAggregatorChoiceMap = invertMap(MetricAggregatorChoiceToStringMap);
map<CrossoverChoice, string> const CrossoverChoiceToStringMap =
{
{CrossoverChoice::SinglePoint, "single-point"},
{CrossoverChoice::TwoPoint, "two-point"},
{CrossoverChoice::Uniform, "uniform"},
};
map<string, CrossoverChoice> const StringToCrossoverChoiceMap = invertMap(CrossoverChoiceToStringMap);
}
istream& phaser::operator>>(istream& _inputStream, PhaserMode& _phaserMode) { return deserializeChoice(_inputStream, _phaserMode, StringToPhaserModeMap); }
@ -88,6 +96,8 @@ istream& phaser::operator>>(istream& _inputStream, MetricChoice& _metric) { retu
ostream& phaser::operator<<(ostream& _outputStream, MetricChoice _metric) { return serializeChoice(_outputStream, _metric, MetricChoiceToStringMap); }
istream& phaser::operator>>(istream& _inputStream, MetricAggregatorChoice& _aggregator) { return deserializeChoice(_inputStream, _aggregator, StringToMetricAggregatorChoiceMap); }
ostream& phaser::operator<<(ostream& _outputStream, MetricAggregatorChoice _aggregator) { return serializeChoice(_outputStream, _aggregator, MetricAggregatorChoiceToStringMap); }
istream& phaser::operator>>(istream& _inputStream, CrossoverChoice& _crossover) { return deserializeChoice(_inputStream, _crossover, StringToCrossoverChoiceMap); }
ostream& phaser::operator<<(ostream& _outputStream, CrossoverChoice _crossover) { return serializeChoice(_outputStream, _crossover, CrossoverChoiceToStringMap); }
GeneticAlgorithmFactory::Options GeneticAlgorithmFactory::Options::fromCommandLine(po::variables_map const& _arguments)
{
@ -95,6 +105,8 @@ GeneticAlgorithmFactory::Options GeneticAlgorithmFactory::Options::fromCommandLi
_arguments["algorithm"].as<Algorithm>(),
_arguments["min-chromosome-length"].as<size_t>(),
_arguments["max-chromosome-length"].as<size_t>(),
_arguments["crossover"].as<CrossoverChoice>(),
_arguments["uniform-crossover-swap-chance"].as<double>(),
_arguments.count("random-elite-pool-size") > 0 ?
_arguments["random-elite-pool-size"].as<double>() :
optional<double>{},
@ -155,6 +167,8 @@ unique_ptr<GeneticAlgorithm> GeneticAlgorithmFactory::build(
/* deletionVsAdditionChance = */ _options.gewepDeletionVsAdditionChance,
/* percentGenesToRandomise = */ percentGenesToRandomise,
/* percentGenesToAddOrDelete = */ percentGenesToAddOrDelete,
/* crossover = */ _options.crossover,
/* uniformCrossoverSwapChance = */ _options.uniformCrossoverSwapChance,
});
}
case Algorithm::Classic:
@ -165,6 +179,8 @@ unique_ptr<GeneticAlgorithm> GeneticAlgorithmFactory::build(
/* mutationChance = */ _options.classicMutationChance,
/* deletionChance = */ _options.classicDeletionChance,
/* additionChance = */ _options.classicAdditionChance,
/* crossover = */ _options.crossover,
/* uniformCrossoverSwapChance = */ _options.uniformCrossoverSwapChance,
});
}
default:
@ -451,6 +467,16 @@ Phaser::CommandLineDescription Phaser::buildCommandLineDescription()
po::value<size_t>()->value_name("<NUM>")->default_value(30),
"Maximum length of randomly generated chromosomes."
)
(
"crossover",
po::value<CrossoverChoice>()->value_name("<NAME>")->default_value(CrossoverChoice::SinglePoint),
"Type of the crossover operator to use."
)
(
"uniform-crossover-swap-chance",
po::value<double>()->value_name("<PROBABILITY>")->default_value(0.5),
"Chance of two genes being swapped between chromosomes in uniform crossover."
)
;
keywordDescription.add(algorithmDescription);

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@ -22,6 +22,7 @@
#pragma once
#include <tools/yulPhaser/AlgorithmRunner.h>
#include <tools/yulPhaser/GeneticAlgorithms.h>
#include <boost/program_options.hpp>
@ -83,6 +84,8 @@ std::istream& operator>>(std::istream& _inputStream, solidity::phaser::MetricCho
std::ostream& operator<<(std::ostream& _outputStream, solidity::phaser::MetricChoice _metric);
std::istream& operator>>(std::istream& _inputStream, solidity::phaser::MetricAggregatorChoice& _aggregator);
std::ostream& operator<<(std::ostream& _outputStream, solidity::phaser::MetricAggregatorChoice _aggregator);
std::istream& operator>>(std::istream& _inputStream, solidity::phaser::CrossoverChoice& _crossover);
std::ostream& operator<<(std::ostream& _outputStream, solidity::phaser::CrossoverChoice _crossover);
/**
* Builds and validates instances of @a GeneticAlgorithm and its derived classes.
@ -95,13 +98,18 @@ public:
Algorithm algorithm;
size_t minChromosomeLength;
size_t maxChromosomeLength;
CrossoverChoice crossover;
double uniformCrossoverSwapChance;
std::optional<double> randomElitePoolSize;
double gewepMutationPoolSize;
double gewepCrossoverPoolSize;
double gewepRandomisationChance;
double gewepDeletionVsAdditionChance;
std::optional<double> gewepGenesToRandomise;
std::optional<double> gewepGenesToAddOrDelete;
double classicElitePoolSize;
double classicCrossoverChance;
double classicMutationChance;