| import numpy | |
| # This project is extended and a library called PyGAD is released to build the genetic algorithm. | |
| # PyGAD documentation: https://pygad.readthedocs.io | |
| # Install PyGAD: pip install pygad | |
| # PyGAD source code at GitHub: https://github.com/ahmedfgad/GeneticAlgorithmPython | |
| def cal_pop_fitness(equation_inputs, pop): | |
| # Calculating the fitness value of each solution in the current population. | |
| # The fitness function caulcuates the sum of products between each input and its corresponding weight. |
| import java.util.Scanner; | |
| import java.io.IOException; | |
| public class OptimalPageReplacement | |
| { | |
| public static void main(String[] args) throws IOException | |
| { | |
| Scanner in = new Scanner(System.in); | |
| int frames = 0; | |
| int pointer = 0; |
| import java.io.IOException; | |
| import java.util.ArrayList; | |
| import java.util.Scanner; | |
| public class LRUPageReplacement | |
| { | |
| public static void main(String[] args) throws IOException | |
| { | |
| Scanner in = new Scanner(System.in); | |
| int frames = 0; |
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