/* 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 . */ /** * Mutation and crossover operators for use in genetic algorithms. */ #pragma once #include #include #include namespace solidity::phaser { using ChromosomePair = std::tuple; using Mutation = Chromosome(Chromosome const&); using Crossover = Chromosome(Chromosome const&, Chromosome const&); using SymmetricCrossover = ChromosomePair(Chromosome const&, Chromosome const&); // MUTATIONS /// Creates a mutation operator that iterates over all genes in a chromosome and with probability /// @a _chance replaces a gene with a random one (which could also be the same as the original). std::function geneRandomisation(double _chance); /// Creates a mutation operator that iterates over all genes in a chromosome and with probability /// @a _chance deletes it. std::function geneDeletion(double _chance); /// Creates a mutation operator that iterates over all positions in a chromosome (including spots /// at the beginning and at the end of the sequence) and with probability @a _chance insert a new, /// randomly chosen gene. std::function geneAddition(double _chance); /// Creates a mutation operator that always applies one of the mutations passed to it. /// The probability that the chosen mutation is the first one is @a _firstMutationChance. /// randomly chosen gene. std::function alternativeMutations( double _firstMutationChance, std::function _mutation1, std::function _mutation2 ); /// Creates a mutation operator that sequentially applies all the operators given in @a _mutations. std::function mutationSequence(std::vector> _mutations); // CROSSOVER /// Creates a crossover operator that randomly selects a number between 0 and 1 and uses it as the /// position at which to perform perform @a fixedPointCrossover. std::function randomPointCrossover(); /// Symmetric version of @a randomPointCrossover(). Creates an operator that returns a pair /// containing both possible results for the same crossover point. std::function symmetricRandomPointCrossover(); /// Creates a crossover operator that always chooses a point that lies at @a _crossoverPoint /// percent of the length of the shorter chromosome. Then creates a new chromosome by /// splitting both inputs at the crossover point and stitching output from the first half or first /// input and the second half of the second input. /// /// Avoids selecting position 0 (since this just produces a chromosome identical to the second one) /// unless there is no other choice (i.e. one of the chromosomes is empty). std::function fixedPointCrossover(double _crossoverPoint); /// Creates a crossover operator that randomly selects two points between 0 and 1 and swaps genes /// from the resulting interval. The interval may be empty in which case no genes are swapped. std::function randomTwoPointCrossover(); /// Symmetric version of @a randomTwoPointCrossover(). Creates an operator that returns a pair /// containing both possible results for the same crossover points. std::function symmetricRandomTwoPointCrossover(); /// Creates a crossover operator that goes over the length of the shorter chromosomes and for /// each gene independently decides whether to swap it or not (with probability given by /// @a _swapChance). The tail of the longer chromosome (the part that's past the length of the /// shorter one) is treated as a single gene and can potentially be swapped too. std::function uniformCrossover(double _swapChance); /// Symmetric version of @a uniformCrossover(). Creates an operator that returns a pair /// containing both possible results for the same set or swap decisions. std::function symmetricUniformCrossover(double _swapChance); }