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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Scientific Context</a></li><li><a href="./uid10.html">Overall Objectives</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li><a href="uid19.html&#10;&#9;&#9;  ">Introduction</a></li><li><a href="uid20.html&#10;&#9;&#9;  ">Developing Novel Theoretical Frameworks for Analyzing and Designing Adaptive Stochastic Algorithms</a></li><li><a href="uid24.html&#10;&#9;&#9;  ">Algorithmic developments</a></li><li><a href="uid30.html&#10;&#9;&#9;  ">Setting novel standards in scientific experimentation and benchmarking</a></li></ul></div>
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	    Raweb 
	    2018</a> | <a href="http://www.inria.fr/en/teams/randopt">Presentation of the Team RANDOPT</a> | <a href="https://team.inria.fr/randopt/">RANDOPT Web Site
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        <div class="Titrepage1">2018 Team Activity Report
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          <div class="ProjetCourtpage1">RANDOPT</div>
          <div class="ProjetLongpage1">Randomized Optimisation<div class="DescriptionTeam">Inria teams are typically groups of researchers working on the definition of a common project, and objectives, with the goal to arrive at the creation of a project-team. Such project-teams may include other partners (universities or research institutions).</div></div>
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          <span class="definition">Research centre: </span>
          <a href="http://www.inria.fr/centre/saclay">Saclay - Île-de-France</a>
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        <div class="domainepage1"><span class="definition">Field: </span><a href="&#10;&#9;      http://www.inria.fr/en/domains/Applied-Mathematics-Computation-and-Simulation">Applied Mathematics, Computation and Simulation</a><br/><span class="definition">Theme: </span>Optimization, machine learning and statistical methods</div>
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          <span class="definition">Keywords: </span>
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            <a href="/keywords/2018/computing">Computer Science and Digital Science: </a>
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            <li>A6. - Modeling, simulation and control</li>
            <li>A6.2. - Scientific computing, Numerical Analysis &amp; Optimization</li>
            <li>A6.2.2. - Numerical probability</li>
            <li>A6.2.3. - Probabilistic methods</li>
            <li>A6.2.4. - Statistical methods</li>
            <li>A6.2.6. - Optimization</li>
            <li>A8.2.2. - Evolutionary algorithms</li>
            <li>A8.9. - Performance evaluation</li>
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            <li>B4. - Energy</li>
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