refactor: ♻️ bee, food
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bff3ca00b9
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f0675e4bdf
4 changed files with 174 additions and 162 deletions
65
artificial_bee_colony/src/bee.rs
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65
artificial_bee_colony/src/bee.rs
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@ -0,0 +1,65 @@
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use rand::Rng;
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use crate::food::FoodSource;
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pub enum Bee {}
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impl Bee {
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pub fn worker_bee(
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food_sources: &mut [FoodSource],
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index: usize,
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decision_variable_count: usize,
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) {
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let mut different_food_source_index = rand::thread_rng().gen_range(0..food_sources.len());
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while different_food_source_index == index {
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different_food_source_index = rand::thread_rng().gen_range(0..food_sources.len());
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}
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let selected_coordinate_index = rand::thread_rng().gen_range(0..decision_variable_count);
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let randomness = rand::thread_rng().gen_range(-1.0..=1.0);
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let candidate_one_index = food_sources[index].coordinates[selected_coordinate_index]
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+ randomness
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* (food_sources[index].coordinates[selected_coordinate_index]
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- food_sources[different_food_source_index].coordinates
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[selected_coordinate_index]);
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let mut candidate_coordinates = food_sources[index].coordinates.clone();
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candidate_coordinates[selected_coordinate_index] = candidate_one_index;
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let candidate = FoodSource::get(candidate_coordinates);
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food_sources[index].try_counter += 1;
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if candidate.fitness > food_sources[index].fitness {
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food_sources[index] = candidate;
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food_sources[index].try_counter = 0;
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}
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}
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pub fn onlooker_bee(
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food_sources: &mut [FoodSource],
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index: usize,
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total_fitness: f64,
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decision_variable_count: usize,
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) {
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let fitness_for_index = food_sources[index].fitness;
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if fitness_for_index / total_fitness <= rand::thread_rng().gen_range(0.0..=1.0) {
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Self::worker_bee(food_sources, index, decision_variable_count);
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}
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}
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pub fn scout_bee(
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food_sources: &mut [FoodSource],
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most_tried_index: usize,
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limit: u128,
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lower_bound: f64,
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upper_bound: f64,
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decision_variable_count: usize,
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) {
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if food_sources[most_tried_index].try_counter > limit {
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let mut coordinates_for_new = vec![];
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for _ in 0..decision_variable_count {
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let random = lower_bound
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+ rand::thread_rng().gen_range(0.0..=1.0) * (upper_bound - lower_bound);
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coordinates_for_new.push(random);
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}
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let new_food_source = FoodSource::get(coordinates_for_new);
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food_sources[most_tried_index] = new_food_source;
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}
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}
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}
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57
artificial_bee_colony/src/food.rs
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57
artificial_bee_colony/src/food.rs
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use rand::Rng;
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#[derive(Debug, Clone)]
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pub struct FoodSource {
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pub fitness: f64,
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pub coordinates: Vec<f64>,
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pub try_counter: u128,
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}
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impl FoodSource {
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pub fn get(coordinates: Vec<f64>) -> Self {
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let mut food_source = FoodSource {
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fitness: 0.0,
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coordinates,
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try_counter: 0,
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};
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if !food_source.coordinates.is_empty() {
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food_source.fitness_function();
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}
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food_source
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}
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fn fitness_function(&mut self) {
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let calculation = Self::calculate(self.coordinates.clone());
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if calculation >= 0.0 {
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self.fitness = 1.0 / (1.0 + calculation);
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} else {
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self.fitness = 1.0 + calculation.abs();
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}
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}
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fn calculate(decision_variables: Vec<f64>) -> f64 {
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let mut result = 0.0;
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for element in decision_variables {
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result += element * element;
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}
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result
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}
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pub fn create_food_sources(
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food_source_number: u128,
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decision_variable_count: usize,
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upper_bound: f64,
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lower_bound: f64,
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) -> Vec<FoodSource> {
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let mut food_sources = vec![];
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for _ in 0..food_source_number {
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let mut coordinates = vec![];
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for _ in 0..decision_variable_count {
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let random = rand::thread_rng().gen_range(lower_bound..=upper_bound);
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coordinates.push(random);
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}
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food_sources.push(FoodSource::get(coordinates));
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}
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food_sources
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}
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}
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48
artificial_bee_colony/src/lib.rs
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48
artificial_bee_colony/src/lib.rs
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@ -0,0 +1,48 @@
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use std::io;
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pub mod bee;
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pub mod food;
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pub struct Input {
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pub decision_variable_count: usize,
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pub food_source_number: u128,
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pub food_source_try_limit: u128,
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pub upper_bound: f64,
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pub lower_bound: f64,
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pub iteration: usize,
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}
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impl Input {
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pub fn get() -> Self {
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println!("Decision Variable Count");
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let decision_variable_count = Self::get_input().parse().unwrap();
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println!("Food Source Number");
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let food_source_number = Self::get_input().parse().unwrap();
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println!("Food Source Try Limit");
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let food_source_try_limit = Self::get_input().parse().unwrap();
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println!("Upper Bound");
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let upper_bound = Self::get_input().parse().unwrap();
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println!("Lower Bound");
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let lower_bound = Self::get_input().parse().unwrap();
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println!("Iteration");
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let iteration = Self::get_input().parse().unwrap();
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Input {
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decision_variable_count,
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food_source_number,
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food_source_try_limit,
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upper_bound,
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lower_bound,
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iteration,
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}
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}
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fn get_input() -> String {
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let mut input = String::new();
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io::stdin().read_line(&mut input).unwrap();
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input.trim().to_string()
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}
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}
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@ -1,162 +1,4 @@
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use std::io;
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use rand::Rng;
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#[derive(Debug, Clone)]
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struct FoodSource {
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fitness: f64,
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coordinates: Vec<f64>,
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try_counter: u128,
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}
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impl FoodSource {
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fn get(coordinates: Vec<f64>) -> Self {
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let mut food_source = FoodSource {
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fitness: 0.0,
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coordinates,
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try_counter: 0,
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};
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if !food_source.coordinates.is_empty() {
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food_source.fitness_function();
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}
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food_source
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}
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fn fitness_function(&mut self) {
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let calculation = Self::calculate(self.coordinates.clone());
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if calculation >= 0.0 {
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self.fitness = 1.0 / (1.0 + calculation);
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} else {
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self.fitness = 1.0 + calculation.abs();
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}
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}
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fn calculate(decision_variables: Vec<f64>) -> f64 {
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let mut result = 0.0;
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for element in decision_variables {
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result += element * element;
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}
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result
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}
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fn create_food_sources(
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food_source_number: u128,
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decision_variable_count: usize,
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upper_bound: f64,
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lower_bound: f64,
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) -> Vec<FoodSource> {
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let mut food_sources = vec![];
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for _ in 0..food_source_number {
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let mut coordinates = vec![];
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for _ in 0..decision_variable_count {
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let random = rand::thread_rng().gen_range(lower_bound..=upper_bound);
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coordinates.push(random);
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}
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food_sources.push(FoodSource::get(coordinates));
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}
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food_sources
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}
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}
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enum Bee {}
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impl Bee {
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fn worker_bee(food_sources: &mut [FoodSource], index: usize, decision_variable_count: usize) {
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let mut different_food_source_index = rand::thread_rng().gen_range(0..food_sources.len());
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while different_food_source_index == index {
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different_food_source_index = rand::thread_rng().gen_range(0..food_sources.len());
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}
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let selected_coordinate_index = rand::thread_rng().gen_range(0..decision_variable_count);
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let randomness = rand::thread_rng().gen_range(-1.0..=1.0);
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let candidate_one_index = food_sources[index].coordinates[selected_coordinate_index]
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+ randomness
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* (food_sources[index].coordinates[selected_coordinate_index]
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- food_sources[different_food_source_index].coordinates
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[selected_coordinate_index]);
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let mut candidate_coordinates = food_sources[index].coordinates.clone();
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candidate_coordinates[selected_coordinate_index] = candidate_one_index;
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let candidate = FoodSource::get(candidate_coordinates);
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food_sources[index].try_counter += 1;
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if candidate.fitness > food_sources[index].fitness {
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food_sources[index] = candidate;
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food_sources[index].try_counter = 0;
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}
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}
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fn onlooker_bee(
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food_sources: &mut [FoodSource],
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index: usize,
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total_fitness: f64,
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decision_variable_count: usize,
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) {
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let fitness_for_index = food_sources[index].fitness;
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if fitness_for_index / total_fitness <= rand::thread_rng().gen_range(0.0..=1.0) {
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Self::worker_bee(food_sources, index, decision_variable_count);
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}
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}
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fn scout_bee(
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food_sources: &mut [FoodSource],
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most_tried_index: usize,
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limit: u128,
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lower_bound: f64,
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upper_bound: f64,
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decision_variable_count: usize,
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) {
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if food_sources[most_tried_index].try_counter > limit {
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let mut coordinates_for_new = vec![];
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for _ in 0..decision_variable_count {
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let random = lower_bound
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+ rand::thread_rng().gen_range(0.0..=1.0) * (upper_bound - lower_bound);
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coordinates_for_new.push(random);
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}
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let new_food_source = FoodSource::get(coordinates_for_new);
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food_sources[most_tried_index] = new_food_source;
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}
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}
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}
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struct Input {
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decision_variable_count: usize,
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food_source_number: u128,
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food_source_try_limit: u128,
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upper_bound: f64,
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lower_bound: f64,
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iteration: usize,
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}
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impl Input {
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fn get() -> Self {
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println!("Decision Variable Count");
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let decision_variable_count = Self::get_input().parse().unwrap();
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println!("Food Source Number");
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let food_source_number = Self::get_input().parse().unwrap();
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println!("Food Source Try Limit");
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let food_source_try_limit = Self::get_input().parse().unwrap();
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println!("Upper Bound");
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let upper_bound = Self::get_input().parse().unwrap();
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println!("Lower Bound");
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let lower_bound = Self::get_input().parse().unwrap();
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println!("Iteration");
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let iteration = Self::get_input().parse().unwrap();
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Input {
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decision_variable_count,
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food_source_number,
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food_source_try_limit,
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upper_bound,
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lower_bound,
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iteration,
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}
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}
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fn get_input() -> String {
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let mut input = String::new();
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io::stdin().read_line(&mut input).unwrap();
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input.trim().to_string()
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}
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}
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use artificial_bee_colony::{bee::Bee, food::FoodSource, Input};
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fn main() {
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println!("Hello, world!");
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}
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}
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for _ in 0..input.iteration {
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for i in 0..input.food_source_number as usize {
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Bee::worker_bee(&mut food_sources, i, input.decision_variable_count);
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for index in 0..input.food_source_number as usize {
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Bee::worker_bee(&mut food_sources, index, input.decision_variable_count);
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let mut total_fitness = 0.0;
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for food_source in &food_sources {
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total_fitness += food_source.fitness;
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}
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Bee::onlooker_bee(
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&mut food_sources,
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i,
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index,
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total_fitness,
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input.decision_variable_count,
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);
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