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<title>Evolving Objects (EO): Evolutionary Computation Framework</title>
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<p>C++ evolutionary computation components framework</p>
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<li>see also <a href="http://paradiseo.gforge.inria.fr/">ParadisEO</a></li>
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<lh><a href="#Features">Features</a></lh>
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<li> <a href="http://sourceforge.net/projects/eodev"><img src="http://sflogo.sourceforge.net/sflogo.php?group_id=9775&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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<h1><a name="Plan"></a>Evolving Objects (EO): an Evolutionary Computation Framework</h1>
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<p>EO is <em>a template-based, ANSI-C++ evolutionary computation library</em> which helps you to write your own stochastic optimization algorithms insanely fast.</p>
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<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>
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<p>Evolutionary algorithms forms a family of algorithms inspired by the theory of evolution, that solve various problems.
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They evolve a set of solutions to a given problem, in order to produce the best results.
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These are stochastic algorithms, because they iteratively use random processes.
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The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics".
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They are also ranked among <em>computational intelligence</em> methods, a domain close to artificial intelligence.
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</p>
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<p>With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.</p>
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<h1><a name="Features"></a>Features <a href="#Plan">⤒</a></h1>
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<h2><a name="Component-based"></a>Component-based framework</h2>
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<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>
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<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>
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<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>
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<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>
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<h2><a name="Main-Features"></a>Main Features</h2>
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<!-- <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 -->
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<table style="float:right;" class="examples">
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<caption>Examples of problems that you can solve with the help of EO:</caption>
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<tr><td>
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<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 -->
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</tr></td>
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<tr><td>
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<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 -->
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</tr></td>
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<tr><td>
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<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 -->
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</tr></td>
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</table>
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<ul>
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<li>Flexible design that permits to easily create virtually any algorithm</li>
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<li>Solution representation for continuous and combinatorial problems:
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<ul>
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<li>binary-strings,</li>
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<li>permutations,</li>
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<li>vectors,</li>
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<li>easily write your own,</li>
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<li>…</li>
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</ul>
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</li>
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<li>Several algorithm paradigms:
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<ul>
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<li>evolution strategies,</li>
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<li>genetic algorithms,</li>
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<li>estimation of distribution,</li>
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<li>particle swarm optimization</li>
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<li>…</li>
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</ul>
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</li>
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<li>Many selection and replacement operators:
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<ul>
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<li>rank-based,</li>
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<li>deterministic or stochastic tournaments,</li>
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<li>roulette,</li>
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<li>elitism,</li>
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<li>…</li>
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</ul>
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</li>
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<li>Ready-to-use variations operators:
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<ul>
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<li>uniform initializer,
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<li>gaussian mutation,
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<li>subtree crossover,
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<li>…</li>
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</ul>
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</li>
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<li>Easy combination of several operators:
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<ul>
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<li>proportional combination,</li>
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<li>sequential call,</li>
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<li>…</li>
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</ul>
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</li>
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<li>Portable and human-readable parameter files</li>
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<li>Suspend and load population from files</li>
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<li>Versatile checkpointing and logging:
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<ul>
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<li>graphical display,</li>
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<li>file dump,</li>
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<li>various statistics,</li>
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<li>signal catching,</li>
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<li>…</li>
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</ul>
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</li>
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<li>Mersenne Twister random number generator (and various distributions)</li>
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<li>No useless computation (sparing fitness call, functor-based calls)</li>
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<li>Fast running speed, thanks to C++</li>
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<li><em>And more!</em></li>
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</ul>
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<h2><a name="Portability"></a>Portability</h2>
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<p> EO should work on Windows and any Un*x-like operating system with a
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standard-conforming C++ development system. </p>
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<p>Recent versions of EO have been tested on the following platforms:
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</p>
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<ul>
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<li>Linux x86 with GCC 3.x and 4.x</li>
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<li>Linux x86_64 with GCC 3.x and GCC 4.x</li>
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<li>MacOS X/Darwin PowerPC with GCC 3.x</li>
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<li>MacOS X/Darwin x86 with GCC 4.x</li>
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<li>Microsoft Windows using Cygwin's GCC 3.x (cygming special).
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<li>Microsoft Windows using Visual Studio 2003/2005; projects files
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are provided.</li>
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<li>Solaris SPARC with GCC 3.x</li>
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<li>Solaris x86 with GCC 3.x</li>
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</ul>
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<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>
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<p> If you have tested EO on a system not listed here, please <a
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href="mailto:eodev-main@lists.sourceforge.net?subject=test-report">let
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us know</a>. </p>
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<p> If you are working on a system with an older C++ compiler there
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is a good chance that eo-0.9.3z.1 works. It is tested on Linux
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with gcc-2.9x and several systems (IRIX, Solaris) with egcs. </p>
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<h2><a name="Presentations"></a>Presentations</h2>
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<p> A functional and "philosophical" overview of EO was presented at <a
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href="http://www.cmap.polytechnique.fr/%7Eea01/">EA'01 conference</a>.
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You can download <a
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href="http://eodev.sourceforge.net/eo/doc/EO_EA2001.pdf">the paper</a>
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or <a href="http://eodev.sourceforge.net/eo/doc/LeCreusot.pdf">the
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slides</a>, or browse them right here:</p>
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<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>
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<p>You can also read this <a href="http://geneura.ugr.es/~jmerelo/GAPPT/index.html">
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PowerPoint presentation</a>, that shows the EO philosophy.
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It includes a Visual Basic macro for evolving objects in Visual Basic
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for Applications. </p>
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<p>EO is described in the following scientific article:<br />
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<blockquote>M. Keijzer, J.J. Merelo, G. Romero, G., M. Schoenauer,
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<a href= "http://www.lri.fr/~marc/EO/EO-EA01.ps.gz">"Evolving
|
||
objects: A general purpose evolutionary computation
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library",</a> <i>Artificial Evolution</i>, <b>2310</b>, 829--888 (2002).</blockquote>
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</p>
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<p>
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<font face="monospace">
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@<font color="#0000ff">Article</font>{<font color="#ff00ff">Keijzer2001</font>,<br>
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<font color="#a52a2a">title</font> = "Evolving Objects: A General Purpose Evolutionary Computation Library ",<br>
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<font color="#a52a2a">author</font> = "Maarten Keijzer and J. J. Merelo and G. Romero and M. Schoenauer",<br>
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<font color="#a52a2a">journal</font> = "Artificial Evolution",<br>
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<font color="#a52a2a">year</font> = "2002",<br>
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<font color="#a52a2a">volume</font> = "2310",<br>
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<font color="#a52a2a">pages</font> = "829--888",<br>
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||
<font color="#a020f0">keywords</font> = "genetic algorithms, genetic programming, evolutionary computation, metaheuristic, computational intelligence, optimization",<br>
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||
<font color="#a020f0">URL</font> = "<a href="http://www.lri.fr/~marc/EO/EO-EA01.ps.gz">http://www.lri.fr/~marc/EO/EO-EA01.ps.gz</a>",<br>
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||
<font color="#ff00ff">size</font> = "12 pages",<br>
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||
<font color="#a020f0">abstract</font> = "This paper presents the evolving objects library<br>
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||
(EOlib), an object-oriented framework for evolutionary<br>
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||
computation (EC) that aims to provide a flexible set of<br>
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||
classes to build EC applications. EOlib design<br>
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||
objective is to be able to evolve any object in which<br>
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fitness makes sense.",<br>
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}<br>
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<br>
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</font>
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</p>
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<p>Here is a list of some known publications that used EO:</p>
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<ul class="publications">
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<li>J.J. Gilijamse, J. Küpper, S. Hoekstra, S.Y.T. van de Meerakker, G. Meijer,
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<a href= "http://dx.doi.org/10.1103/PhysRevA.73.063410">Optimizing the Stark-decelerator beamline for the trapping of
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cold molecules using evolutionary strategies</a>,
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<i> Physical Review</i>, A <b>73</b>, 063410 (2006). <br/>
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Also available at <a href= "http://arxiv.org/abs/physics/0603108"><i>arXiv</i>
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physics/0603108 (2006)</a>.</li>
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<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>
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<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>
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<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>
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</ul>
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<h1><a name="Code"></a>Code <a href="#Plan">⤒</a></h1>
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||
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||
<h2><a name="Download"></a>Download</h2>
|
||
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||
<p> The current stable release is <a
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||
href="http://sourceforge.net/project/showfiles.php?group_id=9775">EO 1.0</a>.
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It supports any standard-compliant C++ compiler. </p>
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<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>
|
||
|
||
<table>
|
||
<tr>
|
||
<td><script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_languages.js"></script></td>
|
||
<td><script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_basic_stats.js"></script></td>
|
||
</tr>
|
||
<tr>
|
||
<td><script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_factoids.js"></script></td>
|
||
<td><script type="text/javascript" src="http://www.ohloh.net/p/16924/widgets/project_cocomo.js"></script></td>
|
||
</tr>
|
||
</table>
|
||
|
||
|
||
|
||
<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>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 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 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>
|
||
|
||
|
||
<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>
|
||
|
||
<h2><a name="Related-software"></a>Related software</h2>
|
||
|
||
<p> <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>.</p>
|
||
|
||
<p> <a href="http://geneura.ugr.es/~jmerelo/DegaX/"
|
||
>DegaX</a> is an ActiveX control which embeds EO 0.8.4.
|
||
</p>
|
||
|
||
|
||
<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>
|
||
|
||
|
||
<h2><a name="Links"></a>Links</h2>
|
||
|
||
<ul>
|
||
<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><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>Charles Darwin: <a href="http://en.wikipedia.org/wiki/The_Origin_of_Species" >The Origin of Species</a>.</li>
|
||
</ul>
|
||
|
||
</div> <!-- id=main -->
|
||
|
||
|
||
<!-- Piwik -->
|
||
<script type="text/javascript">
|
||
var pkBaseURL = (("https:" == document.location.protocol) ? "https://sourceforge.net/apps/piwik/eodev/" : "http://sourceforge.net/apps/piwik/eodev/");
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|
||
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|
||
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|
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|
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|
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|
||
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|
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