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<meta name="description" content="Research overview for Kalyanmoy Deb: evolutionary multi-objective optimization, NSGA-II, NSGA-III, Innovization, bilevel optimization, and the COIN Laboratory." />
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      <span class="brand-text">Kalyanmoy Deb<span>University of Alabama</span></span>
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    <div class="breadcrumb"><a href="index.html">Home</a> / Research</div>
    <span class="kicker">Research</span>
    <h1>Evolutionary computation and multi-criterion optimization</h1>
    <p class="lede">
      Computational and applied optimization, systems design, artificial intelligence,
      machine learning, multi-criterion optimization and decision analysis, and data
      analytics. The day to day work of the research group lives at the
      COIN Laboratory.
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        <h3>NSGA-II and NSGA-III</h3>
        <p>The reference-point based non-dominated sorting algorithms for multi- and many-objective optimization, cited over 74,000 times combined.</p>
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        <h3>Simulated Binary Crossover (SBX)</h3>
        <p>A real-parameter crossover operator that became a default building block across the evolutionary computation field.</p>
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        <h3>Innovization</h3>
        <p>Automatically extracting human-interpretable design principles from the Pareto-optimal solutions an optimization run produces.</p>
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        <h3>Bilevel Optimization</h3>
        <p>Evolutionary methods for nested, leader-follower optimization problems that arise across engineering and economics.</p>
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        <h3>Machine Learning Assisted Optimization</h3>
        <p>Innovized Progress operators, surrogate-assisted search, and learning-based decision-making for expensive optimization problems.</p>
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        <h3>Interpretable AI</h3>
        <p>Nonlinear decision trees and explainable policies for autonomous systems, developed with evolutionary optimization.</p>
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      <span class="kicker">Most Cited Work</span>
      <h2>Landmark publications</h2>
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        <div class="year">2002</div>
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          <strong>A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II</strong>
          <span>IEEE Transactions on Evolutionary Computation. 65,166 citations. Rank 1 most popular paper of the journal.</span>
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        <div class="year">2001</div>
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          <strong>Multi-Objective Optimization Using Evolutionary Algorithms</strong>
          <span>Wiley. The standard reference text in the field, now in its third print.</span>
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        <div class="year">2014</div>
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          <strong>An Evolutionary Many-Objective Optimization Algorithm Using Reference-point Based Non-dominated Sorting Approach (NSGA-III)</strong>
          <span>IEEE Transactions on Evolutionary Computation, Parts I and II. 9,655 citations. Rank 2 most popular paper of the journal.</span>
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        <div class="year">1995</div>
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          <strong>Simulated Binary Crossover for Continuous Search Space</strong>
          <span>Complex Systems. The most widely used crossover operator for real-parameter evolutionary algorithms.</span>
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        <div class="year">2020</div>
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          <strong>pymoo: Multi-Objective Optimization in Python</strong>
          <span>IEEE Access, with Julian Blank. A widely used open-source optimization framework.</span>
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        <h2 style="color:#fff; margin-top:0.4em;">See the research group's current work</h2>
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        <h4>Kalyanmoy Deb</h4>
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          Endowed Shelby Distinguished Professor, Department of Computer Science,
          University of Alabama.
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        <h4>Reach Him</h4>
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