solidity/tools/yulPhaser/Population.h

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/*
This file is part of solidity.
solidity is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
solidity is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with solidity. If not, see <http://www.gnu.org/licenses/>.
*/
#pragma once
#include <tools/yulPhaser/Chromosome.h>
#include <tools/yulPhaser/Program.h>
#include <tools/yulPhaser/SimulationRNG.h>
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#include <optional>
#include <ostream>
#include <vector>
namespace solidity::phaser
{
class Population;
}
// This operator+ must be declared in the global namespace. Otherwise it would shadow global
// operator+ overloads from CommonData.h (e.g. the one for vector) in the namespace it was declared in.
solidity::phaser::Population operator+(solidity::phaser::Population _a, solidity::phaser::Population _b);
namespace solidity::phaser
{
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/**
* Information describing the state of an individual member of the population during the course
* of the genetic algorithm.
*/
struct Individual
{
Chromosome chromosome;
std::optional<size_t> fitness = std::nullopt;
bool operator==(Individual const& _other) const { return fitness == _other.fitness && chromosome == _other.chromosome; }
bool operator!=(Individual const& _other) const { return !(*this == _other); }
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friend std::ostream& operator<<(std::ostream& _stream, Individual const& _individual);
};
/// Determines which individual is better by comparing fitness values. If fitness is the same
/// takes into account all the other properties of the individual to make the comparison
/// deterministic as long as the individuals are not equal.
bool isFitter(Individual const& a, Individual const& b);
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/**
* Represents a changing set of individuals undergoing a genetic algorithm.
* Each round of the algorithm involves mutating existing individuals, evaluating their fitness
* and selecting the best ones for the next round.
*
* An individual is a sequence of optimiser steps represented by a @a Chromosome instance. The whole
* population is associated with a fixed Yul program. By applying the steps to the @a Program
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* instance the class can compute fitness of the individual.
*/
class Population
{
public:
static constexpr size_t MaxChromosomeLength = 30;
explicit Population(Program _program, std::vector<Chromosome> _chromosomes = {}):
Population(
std::move(_program),
chromosomesToIndividuals(std::move(_chromosomes))
) {}
static Population makeRandom(
Program _program,
size_t _size,
std::function<size_t()> _chromosomeLengthGenerator
);
static Population makeRandom(
Program _program,
size_t _size,
size_t _minChromosomeLength,
size_t _maxChromosomeLength
);
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void run(std::optional<size_t> _numRounds, std::ostream& _outputStream);
friend Population (::operator+)(Population _a, Population _b);
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std::vector<Individual> const& individuals() const { return m_individuals; }
static size_t uniformChromosomeLength(size_t _min, size_t _max) { return SimulationRNG::uniformInt(_min, _max); }
static size_t binomialChromosomeLength(size_t _max) { return SimulationRNG::binomialInt(_max, 0.5); }
static size_t measureFitness(Chromosome const& _chromosome, Program const& _program);
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bool operator==(Population const& _other) const;
bool operator!=(Population const& _other) const { return !(*this == _other); }
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friend std::ostream& operator<<(std::ostream& _stream, Population const& _population);
private:
explicit Population(Program _program, std::vector<Individual> _individuals):
m_program{std::move(_program)},
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m_individuals{std::move(_individuals)} {}
void doMutation();
void doEvaluation();
void doSelection();
static void randomizeWorstChromosomes(
std::vector<Individual>& _individuals,
size_t _count
);
static std::vector<Individual> chromosomesToIndividuals(
std::vector<Chromosome> _chromosomes
);
static std::vector<Individual> sortedIndividuals(std::vector<Individual> _individuals);
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Program m_program;
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std::vector<Individual> m_individuals;
};
}