Welcome to MODA’s documentation!

MODA is a comprehensive suite of hypervolume-related algorithms designed for efficient multi-objective optimization. The library is written in C++.

Check out the Usage section for further information, including how to Visual Studio the project.

Note

This project is under active development.

Contents

Installation

• Installation on Windows
  • Visual Studio
  • CMake
  • VCPKG
• Installation on MacOS
  • Make
• Installation with Python
  • Compiling from repository
  • Installation with pip
  • Basic usage
• Installation on Linux
  • Make

Tutorials

• DataSet management
• DataSet Class
  • DatasetParameters
• Point class
• Code Snippets
  • Creating Dataset Ad-hoc
  • Loading dataset from file
  • Loading multiple datasets from a single directory
  • Pruning datasset with dominated points with ND-Tree
• Problem solvers
• Solvers
  • Base Solver Class
  • Base Solver Parameters Class
  • Base Result Class
• Dedicated Solvers
  • Improved Quick Hypervolume
  • Distance based hypevolume estimation
  • Quick Extreme Hypervolume Contributon
  • Hypervolume Subset Selection
  • Quick Hypervolume Guaranteed Bounds Approximation
  • Quick Hypervolume Bounds Estimation with Priority Queue
• Code samples

Downloads

• Download files