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/** @mainpage Welcome to ParadisEO-MOEO
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@section intro Introduction
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ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
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This paradigm-free software embeds some features and techniques for Pareto-based resolution and
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aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
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It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
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This separation confers a maximum design and code reuse.
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ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
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and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
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Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
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using the whole version of ParadisEO.
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@section tutorial Tutorial
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A tutorial about a bi-objective flow-shop scheduling problem will be available soon.
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@section install Installation
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The installation procedure of the package is detailed in the <a
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href="../../README">README</a> file in the top-directory of the source-tree.
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@section design Overall Design
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For an introduction to the design of ParadisEO-MOEO,
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you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
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*/
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/** @page webpages Related webpages
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- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
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- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
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- <a href="../../README">README</a>
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- <a href="../../NEWS">NEWS</a>
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*/
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// Local Variables:
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// coding: iso-8859-1
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// mode: C++
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// c-file-style: "Stroustrup"
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// fill-column: 80
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// End:
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