MOEAFramework-3.7.website.xslt.index.xml Maven / Gradle / Ivy
<?xml version="1.0"?> <!DOCTYPE some_name [ <!ENTITY nbsp " "> <!ENTITY copy "©"> <!ENTITY epsilon "ε"> ]> <page> <title>MOEA Framework, a Java library for multiobjective evolutionary algorithms</title> <description>MOEA Framework, a Java library for multiobjective evolutionary algorithms</description> <header> <script type="text/javascript" src="scripts/jquery-3.7.0.min.js"></script> <script type="text/javascript" src="scripts/jquery.fancybox.min.js"></script> <link rel="stylesheet" href="css/jquery.fancybox.min.css" type="text/css" media="screen" /> </header> <content> <h2>A Framework for Innovation</h2> <p itemprop="description"> The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose single and multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3, PAES, PESA2, SPEA2, IBEA, SMS-EMOA, SMPSO, OMOPSO, CMA-ES, and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms. </p> <h3>Key Features</h3> <ul itemprop="featureList"> <li>Fast, reliable implementations of many state-of-the-art multiobjective evolutionary algorithms</li> <li>Extensible with custom algorithms, problems and operators</li> <li>Supports master-slave, island-model, and hybrid parallelization</li> <li>Tools for building and statistically testing new optimization algorithms</li> <li>Permissive open source license</li> <li>Fully documented and tested source code</li> <li><a href="features.html">See more...</a></li> </ul> <h3>Gallery</h3> <p> <a data-fancybox="gallery" href="images/screenshot-7.png" title="Explore the capabilities of the MOEA Framework with the demo application" itemprop="screenshot"> <img src="images/screenshot-7-small.png" class="float-left" width="98" height="70" alt="Explore the capabilities of the MOEA Framework with the demo application" /> </a> <a data-fancybox="gallery" href="images/screenshot-5.png" title="Solve interesting and complex problems, such as the famous traveling salesman problem" itemprop="screenshot"> <img src="images/screenshot-5-small.png" class="float-left" width="70" height="70" alt="Solve interesting and complex problems, such as the famous traveling salesman problem" /> </a> <a data-fancybox="gallery" href="images/screenshot-6.png" title="Use genetic programming or grammatical evolution to evolve programs" itemprop="screenshot"> <img src="images/screenshot-6-small.png" class="float-left" width="70" height="70" alt="Use genetic programming or grammatical evolution to evolve programs" /> </a> <a data-fancybox="gallery" href="images/screenshot-1.png" title="Compare the performance of multiple MOEAs using the diagnostic tool" itemprop="screenshot"> <img src="images/screenshot-1-small.png" class="float-left" width="114" height="70" alt="Compare the performance of multiple MOEAs using the diagnostic tool" /> </a> <a data-fancybox="gallery" href="images/screenshot-3.png" title="Multiple plots can be shown side-by-side" itemprop="screenshot"> <img src="images/screenshot-3-small.png" class="float-left" width="114" height="70" alt="Multiple plots can be shown side-by-side" /> </a> <a data-fancybox="gallery" href="images/screenshot-2.png" title="Plot the convergence of the approximation set over time" itemprop="screenshot"> <img src="images/screenshot-2-small.png" class="float-left" width="93" height="70" alt="Plot the convergence of the approximation set over time" /> </a> <a data-fancybox="gallery" href="images/screenshot-4.png" title="Perform rigorous statistical studies with ease using our extensive API" itemprop="screenshot"> <img src="images/screenshot-4-small.png" class="float-left" width="167" height="70" alt="Perform rigorous statistical studies with ease using our extensive API" /> </a> </p> </content> </page>
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