Multi-Objective Optimization Solver

Description

multiobjective-optimization is a Python project that solves multi-objective optimization problems using an evolutionary algorithm. The project currently supports:

• ZDT3: A well-known benchmark problem for multi-objective optimization.
• CF6: Another complex multi-objective optimization problem, implemented for different dimensions.

It should works with any problem but is tested and done with the aim of solving these two. The projects implements:

• Implements an evolutionary algorithm to solve multi-objective problems.
• Supports multiple test functions (ZDT3 and CF6).
• Includes mutation and neighborhood update mechanisms.
• Tracks and updates the best solutions found during the iterations.

Installation

To install and run this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/javsanmar5/multiobjective-optimization.git
   cd multiobjective-optimization

2. Create a virtual environment:

   python3 -m venv env
   source env/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

To run the algorithm, execute the following command:

python ./src/main.py

To run the metric software:

cd bin
./metrics
Follow the instructions

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

Authors

• Javier Santos (https://github.com/javsanmar5)