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# Welcome to ParadisEO-MOEO

### 1.0

## intro

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.

## Tutorials

Tutorials for ParadisEO-MOEO are available here.

## install

The installation procedure of the package is detailed in the README file in the top-directory of the source-tree.

## design

For an introduction to the design of ParadisEO-MOEO, you can look at the ParadisEO website.