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/** @mainpage Welcome to ParadisEO-MOEO
@section intro Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorials Tutorials
Tutorials for ParadisEO-MOEO are available <a href="http://paradiseo.gforge.inria.fr/index.php?n=Paradiseo.UsersGuides">here</a>.
@section install Installation
The installation procedure of the package is detailed in the <a
href="../../README">README</a> file in the top-directory of the source-tree.
@section design Overall Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
- <a href="../../NEWS">NEWS</a>
*/