Software review: The HeuristicLab framework

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

HeuristicLab is a graphical user interface (GUI) based framework for heuristic and evolutionary algorithms, designed for ease of use. It offers a plugin-based architecture (which enables users to add custom extensions without knowing the whole of the source code), a domain-independent model to represent arbitrary search algorithms, support for graphical user interfaces, and the ability to accommodate parallel algorithms. A comfortable and feature-rich graphical user interface reduces the learning effort and enables users without programming skills to use and apply HeuristicLab. Several well-known heuristic algorithms and optimization problems are already implemented in HeuristicLab and can be used off-the-shelf. Users can create and reuse plugins to integrate new features and extend the functionality of HeuristicLab. HeuristicLab supports parallel execution of algorithms on multi-core and cluster systems. It provides interactive charts for quickly and thoroughly analyzing results.

Original languageEnglish
Pages (from-to)215-218
Number of pages4
JournalGenetic Programming and Evolvable Machines
Volume15
Issue number2
DOIs
StatePublished - 1 Jan 2014

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