algorithm.js

import fs from 'fs';
import config from './config.js';
import generate_initialize_population from './generate_initial_population.js';
import { fitness_func_generation } from './fitness_func.js';
// import crossoverGeneration from './crossover.js';
// import mutate_Population from './mutation.js';

const check_acceptability = (population) => {
    let flag = true;
    for (let i = 0; i < population.length; i++) {
        flag = true;
        if (population[i].fitness >= config.acceptable_Global_Fitness_Score) {
            console.log(population[i].data[j].local_fitness);
            for (let j = 0; j < population[i].data.length; j++) {
                if (population[i].data[j].local_fitness < config.acceptable_Local_Fitness_Score) {
                    flag = false;
                }
            }
        } else flag = false;
        if (flag == true) {
            fs.writeFileSync('accepetedsol.json', JSON.stringify([population[i]], null, 4), 'utf8');
            return true;
        }
    }
    return false;
}
const algorithm = (room) => {
    // step 1: generate initial population
    // let population = generate_initialize_population();

    // step 1: read population from file (if exists) (alternate)
    let population = JSON.parse(fs.readFileSync('population_selected.json', 'utf8'));

    // Checkpoint: write population to file
    fs.writeFileSync('population_selected.json', JSON.stringify(population, null, 4), 'utf8');

    // The loop is Technically infinite, and it will break when acceptable solution is found 
    // but we have set a max_generation limit to avoid infinite computation of poor offsprings 
    for (let i = 0; i < config.max_generation; i++) {
        // step 2: crossover population
        // population = crossoverGeneration(population, room);

        // step 3: mutate population
        // population = mutate_Population(population, room);

        // checkpoint: write population to file per 10 iterations
        if (i % 10 == 0) fs.writeFileSync('population_selected.json', JSON.stringify(population, null, 4), 'utf8');

        // step 4: calculate fitness score
        population = fitness_func_generation(population, room);

        // step 5: Check for acceptability or Stop criteria
        if (check_acceptability(population)) {
            console.log('Acceptable solution found');
            return population;
        }
        // Now Repeat step 2 to 5 until stop criteria
    }
    return null;
}
let room = JSON.parse(fs.readFileSync('room.json', 'utf8'));
let population = algorithm(room);

if (population == null) console.log('No acceptable solution found');
else fs.writeFileSync('population_selected.json', JSON.stringify(population, null, 4), 'utf8');