nojhan/paradiseo
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

doc up-to-date

Browse source 
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@551 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
liefooga 2007-07-05 15:37:10 +00:00
commit fe4592e8ab
620 changed files with 0 additions and 62444 deletions
Download patch file Download diff file Expand all files Collapse all files

5
trunk/paradiseo-moeo/doc/latex/main.tex
View file

@ -1,5 +0,0 @@
\section{intro}\label{main_intro}
Paradis\-EO-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. Paradis\-EO-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 Paradis\-EO-MOEO using the whole version of Paradis\-EO.\section{Tutorials}\label{main_tutorials}
Tutorials for Paradis\-EO-MOEO are available {\tt here}.\section{install}\label{main_install}
The installation procedure of the package is detailed in the README file in the top-directory of the source-tree.\section{design}\label{main_design}
For an introduction to the design of Paradis\-EO-MOEO, you can look at the {\tt Paradis\-EO website}.