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Heuristic and Evolutionary Algorithms Laboratory

/hjʊəˈrɪstɪk/; Ancient Greek: εὑρίσκειν, heurískein, 'to find, discover'

The Heuristic and Evolutionary Algorithms Laboratory strives to promote scientific research in the field of metaheuristics for solving business, engineering, and biomedical problems. We are committed to the pursuit of excellence in teaching, science and software development and wish to encourage close cooperation between industrialists and academics. We also develop and maintain HeuristicLab, an open source software framework for heuristic and evolutionary optimization, which we hope will attract new users and practitioners.

Latest Posts  

    Call for Papers: EvoSoft Workshop and Symbolic Regression Workshop at GECCO 2022

    At this year’s GECCO taking place from July 09th - 13th, 2022 in Boston (hybrid event) two workshops will be hosted by HEAL members.

    HEAL is hiring!

    In unserem Josef Ressel Zentrum adaptOp suchen wir derzeit eine/n neue/n Mitarbeiter/in:

    Junior Researcher - Data Science and Evolutionary Computation


    • Mitarbeit in F&E-Projekten zu evolutionären Algorithmen und maschinellem Lernen der Forschungsgruppe HEAL
    • Entwicklung, Erweiterung und Anwendung von Optimierungsverfahren für dynamische Probleme im Josef Ressel Zentrum adaptOp
    • Umsetzung wissenschaftlicher Erkenntnisse zur Lösung von industriellen Optimierungsproblemen in der Praxis
    • Publikationstätigkeit und Mitarbeit bei Forschungsanträgen
    • Möglichkeit zur Dissertation an einer unserer ...


    COMET-Project „TransMet1” started

    HEAL is part of the COMET IC-MPPE project “TransMet1”, which is dedicated to the transformation in metallurgy to recycled steel. The objective is to provide fundamentals and tools for the production of high-quality recycled and CO2-reduced strip steels.

    Based on two use cases, a demonstrator of a material and process design and optimization software based on hybrid modeling techniques for offline use in steel sheet production will be established. Hybrid modelling combines physics-based models with machine learning models. The main strategy is to use a combination of physical and data-driven mo...