Homepage | HEAL

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  

    Big in Japan - GECCO Conference 2018

    At this year's Genetic and Evolutionary Computation Conference (GECCO) in Kyoto, our research group was again represented with a large delegation of experienced and young researchers. The GECCO Conference is one of the most important and prestigious conferences for the latest high-quality results in genetic and evolutionary computation since 1999.

    Read On ...

    HEAL at GPTP Workshop

    Gabriel Kronberger and Stephan Winkler visited the Genetic Programming in Theory and Practice (GPTP) Workshop in Ann Arbor, Michigan. The workshop is an annual event hosted by the Center for the Study of Complex Systems, University of Michigan.

    Read On ...

    Dr. Michael Kommenda - Congratulations!

    We would like to congratulate our colleague Michael Kommenda who successfully defended his PhD thesis! Michael is one of our longest researchers and joined HEAL in 2008. He has done his PhD-thesis "Local Optimization and Complexity Control for Symbolic Regression" at the JKU - supervised by FH-Prof. PD DI Dr. Michael Affenzeller and a.Univ.Prof Dr. Josef Küng.

    Read On ...

Directions