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This paper presents GPLAB, a genetic programming toolbox for MATLAB. Besides most of the features traditionally used in genetic programming, it also implements two techniques aimed at controlling the well known bloat problem, as well as a modified version of a previously published method for automatically adapting the genetic operator probabilities in runtime, which makes it possible to use the toolbox as a test bench for new genetic operators. Combining a highly modular and adaptable structure with automatic parameterization techniques, the toolbox suits all kinds of users, from the layman who wants to use it as a “black box”, to the advanced researcher who wants to build and test new functionalities. The toolbox and its documentation are freely available for download at http://www. itqb. unl. pt: 1111/gplab/.