Package org.uma.evolver.example.base

Class NSGAIIZDT4Example

java.lang.Object

org.uma.evolver.example.base.NSGAIIZDT4Example

public class NSGAIIZDT4Example
extends Object

Example: Running NSGA-II on ZDT4 Problem This example demonstrates how to configure and execute the NSGA-II algorithm to solve the ZDT4 multi-objective optimization problem using the Evolver framework. Steps to run this example: 1. The algorithm will automatically load parameters from NSGAIIDoubleFull.yaml 2. The reference front is loaded from resources/referenceFronts/ZDT4.csv 3. The algorithm will run for a maximum of 25,000 evaluations 4. Results are saved to VAR.csv (variables) and FUN.csv (objectives) 5. A real-time chart shows the evolution of the Pareto front (if enabled)

Constructor Summary

Constructors

Constructor	Description
NSGAIIZDT4Example()

Method Summary

Modifier and Type	Method	Description
static void	main(String[] args)	Main execution method for the NSGA-II ZDT4 example.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

NSGAIIZDT4Example

public NSGAIIZDT4Example()

Method Details

main

public static void main(String[] args)
                 throws IOException

Main execution method for the NSGA-II ZDT4 example. The algorithm is configured with the following key parameters: - Population size: 100 - Maximum evaluations: 25,000 - Crossover: SBX with probability 0.9 - Mutation: Polynomial with distribution index 20.0 - Selection: Binary tournament

Parameters:

args - Command line arguments. Not used in the example, but it is possible to run the program using as arguments the same parameter string assigned to the parameters variable. In that case, just assign args to the parameters variable.

Throws:

IOException