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[yul-phaser] Population: Add mutate() and crossover() methods

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This commit is contained in:
cameel
2020-03-09 13:21:48 +01:00
committed by Kamil Śliwak
parent 92b54d83a3
commit 7e80ac861f
4 changed files with 97 additions and 0 deletions
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test/yulPhaser/Population.cpp
+66
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@@ -18,6 +18,7 @@
#include <test/yulPhaser/Common.h>
#include <tools/yulPhaser/Chromosome.h>
#include <tools/yulPhaser/PairSelections.h>
#include <tools/yulPhaser/Population.h>
#include <tools/yulPhaser/Program.h>
#include <tools/yulPhaser/Selections.h>
@@ -31,6 +32,7 @@
#include <boost/test/unit_test.hpp>
#include <cmath>
#include <optional>
#include <string>
#include <sstream>
@@ -226,6 +228,70 @@ BOOST_FIXTURE_TEST_CASE(select_should_return_empty_population_if_selection_is_em
BOOST_TEST(population.select(selection).individuals().empty());
}
BOOST_FIXTURE_TEST_CASE(mutate_should_return_population_containing_individuals_indicated_by_selection_with_mutation_applied, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("cc"), Chromosome("gg"), Chromosome("hh")});
RangeSelection selection(0.25, 0.75);
assert(selection.materialise(population.individuals().size()) == (vector<size_t>{1, 2}));
Population expectedPopulation(m_fitnessMetric, {Chromosome("fc"), Chromosome("fg")});
BOOST_TEST(population.mutate(selection, geneSubstitution(0, BlockFlattener::name)) == expectedPopulation);
}
BOOST_FIXTURE_TEST_CASE(mutate_should_include_duplicates_if_selection_contains_duplicates, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("aa")});
RangeSelection selection(0.0, 1.0);
assert(selection.materialise(population.individuals().size()) == (vector<size_t>{0, 1}));
BOOST_TEST(
population.mutate(selection, geneSubstitution(0, BlockFlattener::name)) ==
Population(m_fitnessMetric, {Chromosome("fa"), Chromosome("fa")})
);
}
BOOST_FIXTURE_TEST_CASE(mutate_should_return_empty_population_if_selection_is_empty, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("cc")});
RangeSelection selection(0.0, 0.0);
assert(selection.materialise(population.individuals().size()).empty());
BOOST_TEST(population.mutate(selection, geneSubstitution(0, BlockFlattener::name)).individuals().empty());
}
BOOST_FIXTURE_TEST_CASE(crossover_should_return_population_containing_individuals_indicated_by_selection_with_crossover_applied, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("cc"), Chromosome("gg"), Chromosome("hh")});
PairMosaicSelection selection({{0, 1}, {2, 1}}, 0.5);
assert(selection.materialise(population.individuals().size()) == (vector<tuple<size_t, size_t>>{{0, 1}, {2, 1}}));
Population expectedPopulation(m_fitnessMetric, {Chromosome("ac"), Chromosome("ca"), Chromosome("cg"), Chromosome("gc")});
BOOST_TEST(population.crossover(selection, fixedPointCrossover(0.5)) == expectedPopulation);
}
BOOST_FIXTURE_TEST_CASE(crossover_should_include_duplicates_if_selection_contains_duplicates, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("aa")});
PairMosaicSelection selection({{0, 0}, {1, 1}}, 1.0);
assert(selection.materialise(population.individuals().size()) == (vector<tuple<size_t, size_t>>{{0, 0}, {1, 1}}));
BOOST_TEST(
population.crossover(selection, fixedPointCrossover(0.5)) ==
Population(m_fitnessMetric, {Chromosome("aa"), Chromosome("aa"), Chromosome("aa"), Chromosome("aa")})
);
}
BOOST_FIXTURE_TEST_CASE(crossover_should_return_empty_population_if_selection_is_empty, PopulationFixture)
{
Population population(m_fitnessMetric, {Chromosome("aa"), Chromosome("cc")});
PairMosaicSelection selection({}, 0.0);
assert(selection.materialise(population.individuals().size()).empty());
BOOST_TEST(population.crossover(selection, fixedPointCrossover(0.5)).individuals().empty());
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()