webpage: add comparision to other frameworks
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<li><a href="#Optimization">Optimization Problems</a></li>
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<li><a href="#Metaheuristics">Metaheuristics</a></li>
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<li><a href="#Why">Why choosing <em class="logo">Paradis<span class="logo_eo">eo</span></em>?</a></li>
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<li><a href="#Fast">How Fast is <em class="logo">Paradis<span class="logo_eo">eo</span></em>?</a></li>
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</ol>
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</li>
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<li class="toc_section" id="toc_section_3">
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<li><a href="#Component-based">Composable design</a></li>
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<li><a href="#LargeChoice">Lot of Components</a></li>
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<li><a href="#Portability">Portability</a></li>
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<li><a href="#VS">VS other Frameworks</a></li>
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</ol>
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</li>
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<li class="toc_section" id="toc_section_4">
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</p>
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</div>
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<h2><a name="Fast"></a>How fast is <em class="logo">Paradis<span class="logo_eo">eo</span></em>?</h2>
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<p>To give an order of magnitude:
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<ul>
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<li>If you use the "official" <em>vanilla implementation of <a href="https://github.com/CMA-ES/pycma">CMA-ES in Python/Numpy</a></em> solving the BBOB problem suite through the <a href="https://github.com/numbbo/coco">COCO plateform</a>, running the whole benchmark will take approximately <em>10 minutes</em> on a single Intel Core i5 @ 2.50GHz with an solid state disk.</li>
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<li>The same experiment, running <em>the <em class="logo">Paradis<span class="logo_eo">eo</span></em> implementation</em> using the seamless binding to the <a href="https://iohprofiler.github.io/">IOHprofiler</a> BBOB implementation, will take <em>1 minute</em>.</li>
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</ul>
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<em class="excerpt">Thus, you can expect that <em>an algorithm implemented with <em class="logo">Paradis<span class="logo_eo">eo</span></em></em> will be up to <strong>10 times faster</strong> than its (heavily optimized) Python counterpart.</em>
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As indicated in the previous section, this speed is crucially useful for algorithm design and algorithm selection.
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</p>
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<button class="collapsible">Notes on this claim…</button>
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<div class="details">
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<p>CMA-ES solves numeric problems with quadratic complexity regarding the number of dimensions. If you target simpler algorithms, they will be faster but one can expect a similar behaviour.</p>
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<p>The <em>pycma</em> used for the comparison rely on <em>numpy</em> for the heavy parts of the computations. If you use a pure Python implementation, the difference will be far greater.</p>
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</div>
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<!-- FEATURES -->
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<h1><a name="Features"></a>Features <a href="#Plan">⤒</a></h1>
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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="VS"></a>VS other Frameworks</h2>
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<p>The following tables show how <em class="logo">Paradis<span class="logo_eo">eo</span></em> compares to other active open-source frameworks, to the best of our knowledge (updated on 2019-10-18).</p>
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<iframe class="table"
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style="height:50ch;"
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src="frameworks_comparison.html"></iframe>
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<p>Gathering and maintaining those information is not easy, so take them with a grain of salt, and if you see errors in those tables, please contact us.</p>
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<!-- DOCUMENTATION -->
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<h1><a name="Documentation"></a>Documentation <a href="#Documentation">⤒</a></h1>
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<li>
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<p>The core EO module is described in the following scientific article:
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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/<em class="logo">Paradis<span class="logo_eo">eo</span></em>/<em class="logo">Paradis<span class="logo_eo">eo</span></em>-EA01.ps.gz">Evolving
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<a href= "http://www.lri.fr/~marc/Paradiseo/Paradiseo-EA01.ps.gz">Evolving
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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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@ -403,7 +430,7 @@
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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/<em class="logo">Paradis<span class="logo_eo">eo</span></em>/<em class="logo">Paradis<span class="logo_eo">eo</span></em>-EA01.ps.gz">http://www.lri.fr/~marc/<em class="logo">Paradis<span class="logo_eo">eo</span></em>/<em class="logo">Paradis<span class="logo_eo">eo</span></em>-EA01.ps.gz</a>",<br/>
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<font color="#a020f0">URL</font> = "<a href="http://www.lri.fr/~marc/Paradiseo/Paradiseo-EA01.ps.gz">http://www.lri.fr/~marc/<em class="logo">Paradis<span class="logo_eo">eo</span></em>/<em class="logo">Paradis<span class="logo_eo">eo</span></em>-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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