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<div id="alt">
<img style="clear:left;" src="eo_logo.png" alt="Evolving Objects logo" />
<div id="menu">
<p>C++ evolutionary computation components framework</p>
<script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_thin_badge.js"></script>
<p>C++ evolutionary computation components framework</p>
<script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_thin_badge.js"></script>
<div class="shortcuts">
<p>Shortcuts:</p>
<ul>
<li><a href="http://sourceforge.net/project/showfiles.php?group_id=9775">Download</a></li>
<li><a href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">Tutorial</a></li>
<li><a href="http://eodev.sourceforge.net/eo/doc/html/index.html">API documentation</a></li>
<li><a href="http://sourceforge.net/project/?group_id=9775">Project page</a></li>
<li><a href="http://chat.jabberfr.org/muckl_int/index.php?room=eo">Chat with us</a></li>
<li><a href="https://sourceforge.net/apps/trac/eodev/wiki/WikiStart">Submit a bug</a></li>
<li>see also <a href="http://paradiseo.gforge.inria.fr/">ParadisEO</a></li>
</ul>
</div>
<div class="shortcuts">
<p>Shortcuts:</p>
<ul>
<li><a href="http://sourceforge.net/project/showfiles.php?group_id=9775">Download</a></li>
<li><a href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">Tutorial</a></li>
<li><a href="http://eodev.sourceforge.net/eo/doc/html/index.html">API documentation</a></li>
<li><a href="http://sourceforge.net/project/?group_id=9775">Project page</a></li>
<li><a href="http://chat.jabberfr.org/muckl_int/index.php?room=eo">Chat with us</a></li>
<li><a href="https://sourceforge.net/apps/trac/eodev/wiki/WikiStart">Submit a bug</a></li>
<li>see also <a href="http://paradiseo.gforge.inria.fr/">ParadisEO</a></li>
</ul>
</div>
<div class="shortcuts">
<ol>
<lh>Jump to section:</lh>
<li>
<ol>
<lh><a href="#Features">Features</a></lh>
<li><a href="#Component-based">Component-based</a></li>
<li><a href="#Main-Features">Main Features</a></li>
<li><a href="#Portability">Portability</a></li>
<li><a href="#Presentations">Presentations</a></li>
</ol>
</li>
<li>
<ol>
<lh><a href="#Code">Code</a></lh>
<li><a href="#Download">Download</a></li>
<li><a href="#Facts">Facts</a></li>
<li><a href="#License">License</a></li>
<li><a href="#Documentation">Documentation</a></li>
</ol>
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<li>
<ol>
<a href="#Development">Development</a></li>
<li><a href="#Mailing-lists">Mailing-lists</a></li>
<li><a href="#Get-involved">Get involved</a></li>
<li><a href="#Related-software">Related software</a></li>
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<li>
<ol>
<lh><a href="#Features">Features</a></lh>
<li><a href="#Component-based">Component-based</a></li>
<li><a href="#Main-Features">Main Features</a></li>
<li><a href="#Portability">Portability</a></li>
<li><a href="#Presentations">Presentations</a></li>
</ol>
</li>
<li>
<ol>
<lh><a href="#Code">Code</a></lh>
<li><a href="#Download">Download</a></li>
<li><a href="#Facts">Facts</a></li>
<li><a href="#License">License</a></li>
<li><a href="#Documentation">Documentation</a></li>
</ol>
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<li>
<ol>
<a href="#Development">Development</a></li>
<li><a href="#Mailing-lists">Mailing-lists</a></li>
<li><a href="#Get-involved">Get involved</a></li>
<li><a href="#Related-software">Related software</a></li>
<li><a href="#Authors">Authors</a></li>
<li><a href="#Links">Links</a></li>
</ol>
</li>
</ol>
</div><!-- class=shortcuts -->
<ul class="badges">
<ul class="badges">
<li>
<!-- ++Begin Dynamic Feed Wizard Generated Code++ -->
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@ -110,10 +110,10 @@
url: 'https://sourceforge.net/projects/eodev/reviews_feed.rss'
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stacked : true,
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numResults : 20
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title : "Latest news from EO",
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@ -125,9 +125,9 @@
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</li>
<li> <a href="http://sourceforge.net/projects/eodev"><img src="http://sflogo.sourceforge.net/sflogo.php?group_id=9775&amp;type=8" width="80" height="15" alt="Get Evolving Objects at SourceForge.net. Fast, secure and Free Open Source software downloads" /></a></li>
<li> <a href="http://sourceforge.net/projects/eodev"><img src="http://sflogo.sourceforge.net/sflogo.php?group_id=9775&amp;type=8" width="80" height="15" alt="Get Evolving Objects at SourceForge.net. Fast, secure and Free Open Source software downloads" /></a></li>
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@ -140,7 +140,7 @@
<div style="font-size:1.5em;color:red;border:thin solid red; background-color:#fee;margin:1em;padding:2em;text-align:center;">We have lost all the mailing-list subscriptions in a crash, please subscribe again on the <a href="https://lists.sourceforge.net/lists/listinfo/eodev-main">eodev-main subscription page</a>.</div>
<p>Evolutionary algorithms forms a family of algorithms inspired by the theory of evolution, that solve various problems.
<p>Evolutionary algorithms forms a family of algorithms inspired by the theory of evolution, that solve various problems.
They evolve a set of solutions to a given problem, in order to produce the best results.
These are stochastic algorithms, because they iteratively use random processes.
The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics".
@ -179,10 +179,10 @@
<h2><a name="Component-based"></a>Component-based framework</h2>
<p>Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks.</p>
<p>If you have a classical problem for which available code exists (for example if you have a black-box problem with real-valued variables), you will just choose components to form an algorithm and connect it to your <em>fitness function</em> (which computes the quality of a given solution).</p>
<p>If your problem is a bit more exotic, you will have to code a class that represents how your <em>individuals</em> (a solution to your problem) are represented, and perhaps some <em>variations operators</em>, but most of the other operators (selection, replacement, stopping criteria, command-line interface, etc.) are already available in EO.</p>
<p><img src="Evolutionary_algorithm.png" title="A typical Evolutionary Algorithm, as seen from the EO point of vue Johann Dréo CC-BY-SA" /></p>
<p>Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks.</p>
<p>If you have a classical problem for which available code exists (for example if you have a black-box problem with real-valued variables), you will just choose components to form an algorithm and connect it to your <em>fitness function</em> (which computes the quality of a given solution).</p>
<p>If your problem is a bit more exotic, you will have to code a class that represents how your <em>individuals</em> (a solution to your problem) are represented, and perhaps some <em>variations operators</em>, but most of the other operators (selection, replacement, stopping criteria, command-line interface, etc.) are already available in EO.</p>
<p><img src="Evolutionary_algorithm.png" title="A typical Evolutionary Algorithm, as seen from the EO point of vue Johann Dréo CC-BY-SA" /></p>
<h2><a name="Main-Features"></a>Main Features</h2>
@ -190,134 +190,134 @@
<!-- <img src="http://upload.wikimedia.org/wikipedia/en/timeline/3f507249a36a4a38020e7fc0a5f448df.png" title="Metaheuristics that can be implemented with EO and ParadisEO, ordered by date of invention Johann Dréo/Wikipédia CC-BY-SA" style="float:right;" /> --> <!-- http://en.wikipedia.org/wiki/Metaheuristic -->
<table style="float:right;" class="examples">
<caption>Examples of problems that you can solve with the help of EO:</caption>
<tr><td>
<img src="Gallagher_Gaussian_BBOB_f21.png" title="Continuous problems (here Gallagher's Gaussian 101-me Peaks function, Black Box Optimization Benchmark, f21 COCO team)" /> <!-- http://coco.lri.fr/BBOB-downloads/download10.2/bbobdocfunctions.pdf -->
</tr></td>
<tr><td>
<img src="200px-Graph_betweenness.svg.png" title="Graph problems (here a Hue scale representing node betweenness on a graph Claudio Rocchini CC-BY)" /><!-- http://commons.wikimedia.org/wiki/File:Graph_betweenness.svg -->
</tr></td>
<tr><td>
<img src="BatchGantt1.png" title="Planning problems (here a Gantt Chart for a Batch Process Casilett DP)" /><!-- http://en.wikipedia.org/wiki/File:BatchGantt1.png -->
</tr></td>
<caption>Examples of problems that you can solve with the help of EO:</caption>
<tr><td>
<img src="Gallagher_Gaussian_BBOB_f21.png" title="Continuous problems (here Gallagher's Gaussian 101-me Peaks function, Black Box Optimization Benchmark, f21 COCO team)" /> <!-- http://coco.lri.fr/BBOB-downloads/download10.2/bbobdocfunctions.pdf -->
</tr></td>
<tr><td>
<img src="200px-Graph_betweenness.svg.png" title="Graph problems (here a Hue scale representing node betweenness on a graph Claudio Rocchini CC-BY)" /><!-- http://commons.wikimedia.org/wiki/File:Graph_betweenness.svg -->
</tr></td>
<tr><td>
<img src="BatchGantt1.png" title="Planning problems (here a Gantt Chart for a Batch Process Casilett DP)" /><!-- http://en.wikipedia.org/wiki/File:BatchGantt1.png -->
</tr></td>
</table>
<ul>
<li>Flexible design that permits to easily create virtually any algorithm</li>
<li>Solution representation for continuous and combinatorial problems:
<ul>
<li>binary-strings,</li>
<li>permutations,</li>
<li>vectors,</li>
<li>easily write your own,</li>
<li></li>
</ul>
</li>
<li>Several algorithm paradigms:
<ul>
<li>evolution strategies,</li>
<li>genetic algorithms,</li>
<li>estimation of distribution,</li>
<li>particle swarm optimization</li>
<li></li>
</ul>
</li>
<li>Many selection and replacement operators:
<ul>
<li>rank-based,</li>
<li>deterministic or stochastic tournaments,</li>
<li>roulette,</li>
<li>elitism,</li>
<li></li>
</ul>
</li>
<li>Ready-to-use variations operators:
<ul>
<li>uniform initializer,
<li>gaussian mutation,
<li>subtree crossover,
<li></li>
</ul>
</li>
<li>Easy combination of several operators:
<ul>
<li>proportional combination,</li>
<li>sequential call,</li>
<li></li>
</ul>
</li>
<li>Portable and human-readable parameter files</li>
<li>Suspend and load population from files</li>
<li>Versatile checkpointing and logging:
<ul>
<li>graphical display,</li>
<li>file dump,</li>
<li>various statistics,</li>
<li>signal catching,</li>
<li></li>
</ul>
</li>
<li>Mersenne Twister random number generator (and various distributions)</li>
<li>No useless computation (sparing fitness call, functor-based calls)</li>
<li>Fast running speed, thanks to C++</li>
<li><em>And more!</em></li>
<li>Flexible design that permits to easily create virtually any algorithm</li>
<li>Solution representation for continuous and combinatorial problems:
<ul>
<li>binary-strings,</li>
<li>permutations,</li>
<li>vectors,</li>
<li>easily write your own,</li>
<li></li>
</ul>
</li>
<li>Several algorithm paradigms:
<ul>
<li>evolution strategies,</li>
<li>genetic algorithms,</li>
<li>estimation of distribution,</li>
<li>particle swarm optimization</li>
<li></li>
</ul>
</li>
<li>Many selection and replacement operators:
<ul>
<li>rank-based,</li>
<li>deterministic or stochastic tournaments,</li>
<li>roulette,</li>
<li>elitism,</li>
<li></li>
</ul>
</li>
<li>Ready-to-use variations operators:
<ul>
<li>uniform initializer,
<li>gaussian mutation,
<li>subtree crossover,
<li></li>
</ul>
</li>
<li>Easy combination of several operators:
<ul>
<li>proportional combination,</li>
<li>sequential call,</li>
<li></li>
</ul>
</li>
<li>Portable and human-readable parameter files</li>
<li>Suspend and load population from files</li>
<li>Versatile checkpointing and logging:
<ul>
<li>graphical display,</li>
<li>file dump,</li>
<li>various statistics,</li>
<li>signal catching,</li>
<li></li>
</ul>
</li>
<li>Mersenne Twister random number generator (and various distributions)</li>
<li>No useless computation (sparing fitness call, functor-based calls)</li>
<li>Fast running speed, thanks to C++</li>
<li><em>And more!</em></li>
</ul>
<h2><a name="Portability"></a>Portability</h2>
<p> EO should work on Windows and any Un*x-like operating system with a
standard-conforming C++ development system. </p>
<p> EO should work on Windows and any Un*x-like operating system with a
standard-conforming C++ development system. </p>
<p>Recent versions of EO have been tested on the following platforms:
</p>
<ul>
<li>Linux x86 with GCC 3.x and 4.x</li>
<li>Linux x86_64 with GCC 3.x and GCC 4.x</li>
<li>MacOS X/Darwin PowerPC with GCC 3.x</li>
<li>MacOS X/Darwin x86 with GCC 4.x</li>
<li>Microsoft Windows using Cygwin's GCC 3.x (cygming special).
<li>Microsoft Windows using Visual Studio 2003/2005; projects files
are provided.</li>
<li>Solaris SPARC with GCC 3.x</li>
<li>Solaris x86 with GCC 3.x</li>
</ul>
<p>Recent versions of EO have been tested on the following platforms:
</p>
<p>Recent versions of EO uses the <a href="http://www.cmake.org">CMake</a> portable build system, that permits to easily generate a build chain for your environment.</p>
<ul>
<li>Linux x86 with GCC 3.x and 4.x</li>
<li>Linux x86_64 with GCC 3.x and GCC 4.x</li>
<li>MacOS X/Darwin PowerPC with GCC 3.x</li>
<li>MacOS X/Darwin x86 with GCC 4.x</li>
<li>Microsoft Windows using Cygwin's GCC 3.x (cygming special).
<li>Microsoft Windows using Visual Studio 2003/2005; projects files
are provided.</li>
<li>Solaris SPARC with GCC 3.x</li>
<li>Solaris x86 with GCC 3.x</li>
</ul>
<p> If you have tested EO on a system not listed here, please <a
href="mailto:eodev-main@lists.sourceforge.net?subject=test-report">let
us know</a>. </p>
<p>Recent versions of EO uses the <a href="http://www.cmake.org">CMake</a> portable build system, that permits to easily generate a build chain for your environment.</p>
<p> If you have tested EO on a system not listed here, please <a
href="mailto:eodev-main@lists.sourceforge.net?subject=test-report">let
us know</a>. </p>
<p> If you are working on a system with an older C++ compiler there
is a good chance that eo-0.9.3z.1 works. It is tested on Linux
with gcc-2.9x and several systems (IRIX, Solaris) with egcs. </p>
<p> If you are working on a system with an older C++ compiler there
is a good chance that eo-0.9.3z.1 works. It is tested on Linux
with gcc-2.9x and several systems (IRIX, Solaris) with egcs. </p>
<h2><a name="Presentations"></a>Presentations</h2>
<p> A functional and "philosophical" overview of EO was presented at <a
href="http://www.cmap.polytechnique.fr/%7Eea01/">EA'01 conference</a>.
You can download <a
href="http://eodev.sourceforge.net/eo/doc/EO_EA2001.pdf">the paper</a>
or <a href="http://eodev.sourceforge.net/eo/doc/LeCreusot.pdf">the
slides</a>, or browse them right here:</p>
<p> A functional and "philosophical" overview of EO was presented at <a
href="http://www.cmap.polytechnique.fr/%7Eea01/">EA'01 conference</a>.
You can download <a
href="http://eodev.sourceforge.net/eo/doc/EO_EA2001.pdf">the paper</a>
or <a href="http://eodev.sourceforge.net/eo/doc/LeCreusot.pdf">the
slides</a>, or browse them right here:</p>
<div style="text-align:center;" id="__ss_4878872"><strong style="display:block;margin:12px 0 4px"><a href="http://www.slideshare.net/nojhan/evolving-objects-yet-another-evolutionary-computation-library" title="Evolving Objects: Yet Another Evolutionary Computation Library?">Evolving Objects: Yet Another Evolutionary Computation Library?</a></strong><object id="__sse4878872" width="425" height="355"><param name="movie" value="http://static.slidesharecdn.com/swf/ssplayer2.swf?doc=lecreusot-100731121355-phpapp01&stripped_title=evolving-objects-yet-another-evolutionary-computation-library" /><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed name="__sse4878872" src="http://static.slidesharecdn.com/swf/ssplayer2.swf?doc=lecreusot-100731121355-phpapp01&stripped_title=evolving-objects-yet-another-evolutionary-computation-library" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object></div>
<p>You can also read this <a href="http://geneura.ugr.es/~jmerelo/GAPPT/index.html">
PowerPoint presentation</a>, that shows the EO philosophy.
It includes a Visual Basic macro for evolving objects in Visual Basic
for Applications. </p>
<p>You can also read this <a href="http://geneura.ugr.es/~jmerelo/GAPPT/index.html">
PowerPoint presentation</a>, that shows the EO philosophy.
It includes a Visual Basic macro for evolving objects in Visual Basic
for Applications. </p>
<p>EO is described in the following scientific article:<br />
<blockquote>M. Keijzer, J.J. Merelo, G. Romero, G., M. Schoenauer,
<a href= "http://www.lri.fr/~marc/EO/EO-EA01.ps.gz">"Evolving
objects: A general purpose evolutionary computation
library",</a> <i>Artificial Evolution</i>, <b>2310</b>, 829--888 (2002).</blockquote>
</p>
<p>EO is described in the following scientific article:<br />
<blockquote>M. Keijzer, J.J. Merelo, G. Romero, G., M. Schoenauer,
<a href= "http://www.lri.fr/~marc/EO/EO-EA01.ps.gz">"Evolving
objects: A general purpose evolutionary computation
library",</a> <i>Artificial Evolution</i>, <b>2310</b>, 829--888 (2002).</blockquote>
</p>
<p>
<font face="monospace">
@<font color="#0000ff">Article</font>{<font color="#ff00ff">Keijzer2001</font>,<br>
@ -340,187 +340,187 @@
<br>
</font>
</p>
<p>Here is a list of some known publications that used EO:</p>
<ul class="publications">
<li>J.J. Gilijamse, J. Küpper, S. Hoekstra, S.Y.T. van de Meerakker, G. Meijer,
<a href= "http://dx.doi.org/10.1103/PhysRevA.73.063410">Optimizing the Stark-decelerator beamline for the trapping of
cold molecules using evolutionary strategies</a>,
<i> Physical Review</i>, A <b>73</b>, 063410 (2006). <br/>
Also available at <a href= "http://arxiv.org/abs/physics/0603108"><i>arXiv</i>
physics/0603108 (2006)</a>.</li>
<li>Johann Dreo, <a href="http://www.nojhan.net/pro/spip.php?article31">Using Performance Fronts for Parameter Setting of Stochastic Metaheuristics</a>, <i>Genetic and Evolutionary Computation Conference</i>, (2009).</li>
<li>Jacques Bibaï, Pierre Savéant, Marc Schoenauer, Vincent Vidal, <a href="http://www.aaai.org/ocs/index.php/ICAPS/ICAPS10/paper/view/1414">An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning</a>, <i>Twentieth International Conference on Automated Planning and Scheduling </i> (2010).</li>
<li>Jacques Bibaï, Pierre Savéant, Marc Schoenauer, Vincent Vidal, <a href="">An Evolutionary Metaheuristic for Domain-Independent Satisficing Planning</a>, <i>Genetic and Evolutionary Computation Conference</i> (2010). <em>Silver Medal at the Human-Competitive Competition</em></li>
<p>Here is a list of some known publications that used EO:</p>
<ul class="publications">
<li>J.J. Gilijamse, J. Küpper, S. Hoekstra, S.Y.T. van de Meerakker, G. Meijer,
<a href= "http://dx.doi.org/10.1103/PhysRevA.73.063410">Optimizing the Stark-decelerator beamline for the trapping of
cold molecules using evolutionary strategies</a>,
<i> Physical Review</i>, A <b>73</b>, 063410 (2006). <br/>
Also available at <a href= "http://arxiv.org/abs/physics/0603108"><i>arXiv</i>
physics/0603108 (2006)</a>.</li>
<li>Johann Dreo, <a href="http://www.nojhan.net/pro/spip.php?article31">Using Performance Fronts for Parameter Setting of Stochastic Metaheuristics</a>, <i>Genetic and Evolutionary Computation Conference</i>, (2009).</li>
<li>Jacques Bibaï, Pierre Savéant, Marc Schoenauer, Vincent Vidal, <a href="http://www.aaai.org/ocs/index.php/ICAPS/ICAPS10/paper/view/1414">An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning</a>, <i>Twentieth International Conference on Automated Planning and Scheduling </i> (2010).</li>
<li>Jacques Bibaï, Pierre Savéant, Marc Schoenauer, Vincent Vidal, <a href="">An Evolutionary Metaheuristic for Domain-Independent Satisficing Planning</a>, <i>Genetic and Evolutionary Computation Conference</i> (2010). <em>Silver Medal at the Human-Competitive Competition</em></li>
</ul>
<h1><a name="Code"></a>Code <a href="#Plan"></a></h1>
<h2><a name="Download"></a>Download</h2>
<p> The current stable release is <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">EO 1.0</a>.
It supports any standard-compliant C++ compiler. </p>
<p> You can obtain the latest version directly via <a
href="https://sourceforge.net/scm/?type=git&group_id=9775">GIT</a>
or <a href="http://eodev.git.sourceforge.net/git/gitweb.cgi?p=eodev/eodev;a=tree;f=eo;h=d93666f049104f360ffdff3af0bf54902e2feae1;hb=HEAD">browse the repository online</a>.
<!-- or download a daily snapshot from <a
href="http://www.lri.fr/%7Emarc/EO/snapshot">LRI</a> -->
</p>
<p> All releases can be obtained from the SourceForge <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">download
area</a>. </p>
<p> The current stable release is <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">EO 1.0</a>.
It supports any standard-compliant C++ compiler. </p>
<p> You can obtain the latest version directly via <a
href="https://sourceforge.net/scm/?type=git&group_id=9775">GIT</a>
or <a href="http://eodev.git.sourceforge.net/git/gitweb.cgi?p=eodev/eodev;a=tree;f=eo;h=d93666f049104f360ffdff3af0bf54902e2feae1;hb=HEAD">browse the repository online</a>.
<!-- or download a daily snapshot from <a
href="http://www.lri.fr/%7Emarc/EO/snapshot">LRI</a> -->
</p>
<p> All releases can be obtained from the SourceForge <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">download
area</a>. </p>
<h2><a name="Facts"></a>Facts</h2>
<p>Those statistics are automatically generated by <a href="https://www.ohloh.net/p/eodev">ohloh.net</a>, directly from the EO source code.</p>
<p>Those statistics are automatically generated by <a href="https://www.ohloh.net/p/eodev">ohloh.net</a>, directly from the EO source code.</p>
<table>
<tr>
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<h2><a name="License"></a>License</h2>
<p>EO is distributed under the
<a href="http://www.gnu.org/copyleft/lesser.html">
GNU Lesser General Public License</a>.</p>
<p>EO is distributed under the
<a href="http://www.gnu.org/copyleft/lesser.html">
GNU Lesser General Public License</a>.</p>
<p>Note that this license places copyleft restrictions on a program created with EO, but does not apply these restrictions to other software that would links with the program.</p>
<p>Note that this license places copyleft restrictions on a program created with EO, but does not apply these restrictions to other software that would links with the program.</p>
<h2><a name="Documentation"></a>Documentation</h2>
<p>The tutorial demonstrates that writing an evolutionary algorithm
evolving your own structures is now <em>easy</em>, using ready-to-use
template files. Although the tutorial has not been upgraded for some
time now and refers to version 0.9.2 of EO, it nevertheless remains the
best way to dive into EO. You can start by trying it on-line at <a
href="http://www.lri.fr/%7Emarc/EO/eo/tutorial/html/eoTutorial.html">LRI</a>
or <a
href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">SourceForge</a>,
before <a href="http://www.lri.fr/%7Emarc/EO/">downloading it</a>. The
tutorial is also included in the <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">released
sources</a>. </p>
<p>The tutorial demonstrates that writing an evolutionary algorithm
evolving your own structures is now <em>easy</em>, using ready-to-use
template files. Although the tutorial has not been upgraded for some
time now and refers to version 0.9.2 of EO, it nevertheless remains the
best way to dive into EO. You can start by trying it on-line at <a
href="http://www.lri.fr/%7Emarc/EO/eo/tutorial/html/eoTutorial.html">LRI</a>
or <a
href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">SourceForge</a>,
before <a href="http://www.lri.fr/%7Emarc/EO/">downloading it</a>. The
tutorial is also included in the <a
href="http://sourceforge.net/project/showfiles.php?group_id=9775">released
sources</a>. </p>
<p>The latest <a
href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">tutorial
release</a>.
</p>
<p>The latest <a
href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">tutorial
release</a>.
</p>
<p>The complete code is also well documented and you can look at the
generated <a
href="http://eodev.sourceforge.net/eo/doc/html/index.html">interface
documentation</a>. </p>
<p>The complete code is also well documented and you can look at the
generated <a
href="http://eodev.sourceforge.net/eo/doc/html/index.html">interface
documentation</a>. </p>
<p>The easiest way to create a complete new EO-project, even for new
genomes, is to use the script provided in tutorial/Templates/; see
the README in that directory and lesson 5 of the tutorial for
detail.</p>
<p>The easiest way to create a complete new EO-project, even for new
genomes, is to use the script provided in tutorial/Templates/; see
the README in that directory and lesson 5 of the tutorial for
detail.</p>
<h1><a name="Development"></a>Development <a href="#Plan"></a></h1>
<h2><a name="Mailing-lists"></a>Mailing-lists</h2>
<p>EO is an open development effort; that is why we have
created mailing lists to discuss future developments, solve technical
problems, announce releases, publish patches, and discuss evolutionary
computation in general. Browse the archives or join the <a
href="http://sourceforge.net/mail/?group_id=9775">EO mailing lists</a>.</p>
<p>EO is an open development effort; that is why we have
created mailing lists to discuss future developments, solve technical
problems, announce releases, publish patches, and discuss evolutionary
computation in general. Browse the archives or join the <a
href="http://sourceforge.net/mail/?group_id=9775">EO mailing lists</a>.</p>
<h2><a name="Get-involved"></a>Get involved</h2>
<p>The following resources are available, thanks to sourceforge</p>
<ul>
<li> <a href="http://sourceforge.net/project/?group_id=9775">EO
SourceForge Project Page</a></li>
<li><a href="http://eodev.sourceforge.net/eo/doc/html/index.html">EO
automatic documentation page at SF</a><br>
</li>
<li><a href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">EO
tutorial page at SF</a><br>
</li>
<li> <a href="https://sourceforge.net/project/showfiles.php?group_id=9775">Releases</a></li>
<li> <a href="http://sourceforge.net/mail/?group_id=9775">Mailing Lists</a></li>
<li> <a href="http://sourceforge.net/forum/?group_id=9775">Message Forums</a></li>
<li> <a href="https://sourceforge.net/apps/trac/eodev/wiki/WikiStart">Bug Submission and Tracking</a></li>
<li> <a href="https://sourceforge.net/projects/eodev/support">Technical Support</a></li>
<li> <a href="https://sourceforge.net/scm/?type=git&group_id=9775">Code repository</a></li>
</ul>
<p>The following resources are available, thanks to sourceforge</p>
<ul>
<li> <a href="http://sourceforge.net/project/?group_id=9775">EO
SourceForge Project Page</a></li>
<li><a href="http://eodev.sourceforge.net/eo/doc/html/index.html">EO
automatic documentation page at SF</a><br>
</li>
<li><a href="http://eodev.sourceforge.net/eo/tutorial/html/eoTutorial.html">EO
tutorial page at SF</a><br>
</li>
<li> <a href="https://sourceforge.net/project/showfiles.php?group_id=9775">Releases</a></li>
<li> <a href="http://sourceforge.net/mail/?group_id=9775">Mailing Lists</a></li>
<li> <a href="http://sourceforge.net/forum/?group_id=9775">Message Forums</a></li>
<li> <a href="https://sourceforge.net/apps/trac/eodev/wiki/WikiStart">Bug Submission and Tracking</a></li>
<li> <a href="https://sourceforge.net/projects/eodev/support">Technical Support</a></li>
<li> <a href="https://sourceforge.net/scm/?type=git&group_id=9775">Code repository</a></li>
</ul>
<h2><a name="Related-software"></a>Related software</h2>
<p>The softwares listed here are using EO, but they are not maintained by the EO team.
They may not be free softwares or may even be outdated.</p>
<p>The softwares listed here are using EO, but they are not maintained by the EO team.
They may not be free softwares or may even be outdated.</p>
<ul>
<li> <a href="http://paradiseo.gforge.inria.fr"
>ParadisEO</a> provides EO extensions for
the flexible design of <b>single solution-based metaheuristics</b>,
metaheuristics for <b>multi objective optimization</b> as well as <b>hybrid, parallel and distributed
metaheuristics</b>.</li>
<ul>
<li> <a href="http://paradiseo.gforge.inria.fr"
>ParadisEO</a> provides EO extensions for
the flexible design of <b>single solution-based metaheuristics</b>,
metaheuristics for <b>multi objective optimization</b> as well as <b>hybrid, parallel and distributed
metaheuristics</b>.</li>
<li> <a href="http://geneura.ugr.es/~jmerelo/DegaX/">DegaX</a>
is an ActiveX control which embeds EO 0.8.4.
</li>
<li> <a href="http://geneura.ugr.es/~jmerelo/DegaX/">DegaX</a>
is an ActiveX control which embeds EO 0.8.4.
</li>
<li><a href="https://lsiit.u-strasbg.fr/easea/index.php/EASEA_platform">EASEA</a> was a GUI that permits to build evolutionary algorithm with EO or the <a href="http://lancet.mit.edu/ga/">GAlib</a>.
It is now a platform that allows program evolutionary algorithms on massively parallel many-core architectures.</li>
<li><a href="https://lsiit.u-strasbg.fr/easea/index.php/EASEA_platform">EASEA</a> was a GUI that permits to build evolutionary algorithm with EO or the <a href="http://lancet.mit.edu/ga/">GAlib</a>.
It is now a platform that allows program evolutionary algorithms on massively parallel many-core architectures.</li>
<li><a href="https://gforge.inria.fr/projects/guide">GUIDE</a> is a GUI that allows the generation of evolutionary algorithms. It can use EO or <a href="http://cs.gmu.edu/~eclab/projects/ecj/">ECJ</a>.</li>
</ul>
<li><a href="https://gforge.inria.fr/projects/guide">GUIDE</a> is a GUI that allows the generation of evolutionary algorithms. It can use EO or <a href="http://cs.gmu.edu/~eclab/projects/ecj/">ECJ</a>.</li>
</ul>
<h2><a name="Authors"></a>Authors</h2>
<p>EO was started by the <a href="http://geneura.ugr.es/">Geneura
Team</a> at the University of Granada, headed by <a
href="http://geneura.ugr.es/%7Ejmerelo/">Juan Julián Merelo</a>. The <a
href="http://geneura.ugr.es/~jmerelo/EO.orig.html"
>original Web site</a> is also the only place where you
will find old releases of EO (up to 0.8.7), but beware that it is not
compatible at all with the current version. </p>
<p>The developement team has then been reinforced by <a
href="http://www.cs.vu.nl/~mkeijzer">Maarten Keijzer</a>, the C++
wizzard, and <a href="http://www.lri.fr/%7Emarc">Marc Schoenauer</a>.
Later came <a href="http://www.liacs.nl/%7Ejeggermo/">Jeroen
Eggermont</a>, who, among other things, did a lot of work on GP,
INRIA Dolphin Team, <a
href="mailto:okoenig@users.sourceforge.net">Olivier König</a>, who did a
lot of useful additions and cleaning of the code and <a
href="http://www.jochen-kuepper.de">Jochen Küpper</a>, working on
infrastructure maintenance. </p>
<p>EO was started by the <a href="http://geneura.ugr.es/">Geneura
Team</a> at the University of Granada, headed by <a
href="http://geneura.ugr.es/%7Ejmerelo/">Juan Julián Merelo</a>. The <a
href="http://geneura.ugr.es/~jmerelo/EO.orig.html"
>original Web site</a> is also the only place where you
will find old releases of EO (up to 0.8.7), but beware that it is not
compatible at all with the current version. </p>
<p>The project is now maintained by <a href="http://johann.dreo.fr">Johann Dréo</a>,
working on it with the help of <a href="http://caner.candan.fr">Caner Candan</a>.</p>
<p>The developement team has then been reinforced by <a
href="http://www.cs.vu.nl/~mkeijzer">Maarten Keijzer</a>, the C++
wizzard, and <a href="http://www.lri.fr/%7Emarc">Marc Schoenauer</a>.
Later came <a href="http://www.liacs.nl/%7Ejeggermo/">Jeroen
Eggermont</a>, who, among other things, did a lot of work on GP,
INRIA Dolphin Team, <a
href="mailto:okoenig@users.sourceforge.net">Olivier König</a>, who did a
lot of useful additions and cleaning of the code and <a
href="http://www.jochen-kuepper.de">Jochen Küpper</a>, working on
infrastructure maintenance. </p>
<p>The project is now maintained by <a href="http://johann.dreo.fr">Johann Dréo</a>,
working on it with the help of <a href="http://caner.candan.fr">Caner Candan</a>.</p>
<h2><a name="Links"></a>Links</h2>
<ul>
<li><a href="http://coco.gforge.inria.fr/">COCO (COmparing Continuous Optimisers)</a>, a platform for systematic and sound comparisons of real-parameter global optimisers. COCO provides benchmark function testbeds and tools for processing and visualizing data generated by one or several optimizers.</li>
<li><a href="http://www.aip.de/~ast/EvolCompFAQ" >The Hitch-Hiker's Guide to Evolutionary Computation</a>, FAQ for <a href="news:comp.ai.genetic">comp.ai.genetic</a>.</li>
<li>Wikipedia entries on <a href="http://en.wikipedia.org/wiki/Evolutionary_algorithm">Evolutionary algorithms</a>.</li>
<li>Charles Darwin: <a href="http://en.wikipedia.org/wiki/The_Origin_of_Species" >The Origin of Species</a>.</li>
<ul>
<li><a href="http://coco.gforge.inria.fr/">COCO (COmparing Continuous Optimisers)</a>, a platform for systematic and sound comparisons of real-parameter global optimisers. COCO provides benchmark function testbeds and tools for processing and visualizing data generated by one or several optimizers.</li>
<li><a href="http://www.aip.de/~ast/EvolCompFAQ" >The Hitch-Hiker's Guide to Evolutionary Computation</a>, FAQ for <a href="news:comp.ai.genetic">comp.ai.genetic</a>.</li>
<li>Wikipedia entries on <a href="http://en.wikipedia.org/wiki/Evolutionary_algorithm">Evolutionary algorithms</a>.</li>
<li>Charles Darwin: <a href="http://en.wikipedia.org/wiki/The_Origin_of_Species" >The Origin of Species</a>.</li>
</ul>
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