use num::abs; use ew::genetic::{self, creation, cross, mutation, pairing, pre_birth, selection}; use ew::tools::logging; use ew::tools::stopchecker; use ew::{GoalFromFunction, Optimizer}; use ew_testfunc; type Gene = f32; type Chromosomes = Vec; #[test] fn genetic_paraboloid() { // General parameters let minval: Gene = -100.0; let maxval: Gene = 100.0; let population_size = 800; let chromo_count = 5; let intervals = vec![(minval, maxval); chromo_count]; // Goal function let goal = GoalFromFunction::new(ew_testfunc::paraboloid); // Creator let creator = creation::vec_float::RandomCreator::new(population_size, intervals.clone()); // Pairing // let pairing = pairing::RandomPairing::new(); let families_count = population_size / 2; let partners_count = 2; let rounds_count = 2; let pairing = pairing::Tournament::new(families_count) .partners_count(partners_count) .rounds_count(rounds_count); // Cross let single_cross = cross::FloatCrossExp::new(); // let single_cross = cross::CrossBitwise::new(); let cross = cross::VecCrossAllGenes::new(Box::new(single_cross)); // Mutation let mutation_probability = 15.0; let mutation_gene_count = 3; let single_mutation = mutation::BitwiseMutation::new(mutation_gene_count); let mutation = mutation::VecMutation::new(mutation_probability, Box::new(single_mutation)); // Pre birth let pre_births: Vec>> = vec![Box::new( pre_birth::vec_float::CheckChromoInterval::new(intervals.clone()), )]; // Selection let selections: Vec>> = vec![ Box::new(selection::KillFitnessNaN::new()), Box::new(selection::LimitPopulation::new(population_size)), ]; // Stop checker let change_max_iterations = 150; let change_delta = 1e-7; let stop_checker = stopchecker::CompositeAny::new(vec![ Box::new(stopchecker::Threshold::new(1e-6)), Box::new(stopchecker::GoalNotChange::new( change_max_iterations, change_delta, )), Box::new(stopchecker::MaxIterations::new(5000)), ]); // Logger let loggers: Vec>> = vec![]; let mut optimizer = genetic::GeneticOptimizer::new( Box::new(goal), Box::new(stop_checker), Box::new(creator), Box::new(pairing), Box::new(cross), Box::new(mutation), selections, pre_births, ); optimizer.set_loggers(loggers); // Run genetic algorithm match optimizer.find_min() { None => assert!(false), Some((solution, goal_value)) => { for i in 0..chromo_count { assert!(abs(solution[i] - (i as f32 + 1.0)) < 0.1); } assert!(abs(goal_value) < 1e-3); } } }