Heuristiclab grid a flexible and extensible environment for parallel heuristic optimization

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    Heuristic optimization techniques turned out to be very well suited for attacking various kinds of problems. However, when it comes to practical applications like scheduling problems, route planning, etc., also these algorithms still suffer from a very long running time mainly due to the rather large problem instances relevant in real world applications. Consequently, parallel optimization methods like parallel Genetic Algorithms are widely used to overcome this handicap. In this paper, the authors present a new environment for parallel heuristic optimization based upon the already proposed HeuristicLab. In contrast to other existing grid computing or parallel optimization projects, HeuristicLab Grid offers the possibility of rapid and easy use of existing optimization algorithms and problems in a parallel way without the need of complex installation and maintenance.

    Original languageEnglish
    Pages (from-to)103-110
    Number of pages8
    JournalSystems Science
    Issue number4
    Publication statusPublished - 2004


    Dive into the research topics of 'Heuristiclab grid a flexible and extensible environment for parallel heuristic optimization'. Together they form a unique fingerprint.

    Cite this