/* 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 . */ /** * Contains an abstract base class representing a genetic algorithm and its concrete implementations. */ #pragma once #include #include #include namespace solidity::phaser { /** * Abstract base class for genetic algorithms. * * The main feature is the @a run() method that executes the algorithm, updating the internal * population during each round and printing the results to the stream provided to the constructor. * * Derived classes can provide specific methods for updating the population by implementing * the @a runNextRound() method. */ class GeneticAlgorithm { public: GeneticAlgorithm(Population _initialPopulation, std::ostream& _outputStream): m_population(std::move(_initialPopulation)), m_outputStream(_outputStream) {} GeneticAlgorithm(GeneticAlgorithm const&) = delete; GeneticAlgorithm& operator=(GeneticAlgorithm const&) = delete; virtual ~GeneticAlgorithm() = default; Population const& population() const { return m_population; } void run(std::optional _numRounds = std::nullopt); /// The method that actually implements the algorithm. Should use @a m_population as input and /// replace it with the updated state after the round. virtual void runNextRound() = 0; protected: Population m_population; private: std::ostream& m_outputStream; }; }