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NumBBO/CoCO Framework in Matlab and Octave (Experimental Part)

Prerequisites

The simplest way to check the prerequisits is to go directly to Getting Started below and give it a try. Then act upon failure, as in this case probably one of the following is lacking:

  • Matlab is installed (version >=2008a) and in the path. Alternatively, you can also use the open source platform Octave (version >=4.0.0).

  • Python is installed in the right version (>=2.6). We recommend using the Anaconda package (https://www.continuum.io) for installing python.

  • A C compiler, like gcc, which is invoked by mex. For details handling non-supported versions, in particular when using gcc with MATLAB versions before 2015b, please follow http://gnumex.sourceforge.net/oldDocumentation/index.html

Getting Started

See Getting Started here for the first steps. Then

  • Copy (and rename) the folder code-experiments/build/matlab to a place (and name) of your choice. Modify the exampleexperiment.m file to include the solver of your choice (instead of random search in my_optimizer). Do not forget to also choose the right benchmarking suite and the corresponding observer.

  • Execute the modified file either from a system shell like

        matlab exampleexperiment_new_name.m

    or

        octave exampleexperiment_new_name.m

    or in the Matlab/Octave shell like

        >>> example_experiment_new_name

See here for the remaining steps to investate the resulting data.

Details and Known Issues

  • All of the compilation takes place in the setup.m file.
  • For using gcc with older MATLAB versions than 2015b, please follow http://gnumex.sourceforge.net/oldDocumentation/index.html
  • In case that the current Matlab wrapper of the Coco code does not work immediatly on the Mac OSX operating system, in particular if some parts have been updated lately, we suggest to try to add 
    #define char16_t UINT16_T
    right before the #include "mex.h" lines of the corresponding C files. This holds especially for the more complicated example in ../../examples/bbob-biobj-matlab-smsemoa/.

Tested Environments

We cannot guarantee that the Matlab wrapper works on any combination of operating system and compiler. However, compilation has been tested successfully under

  • Mac OSX with MATLAB 2012a
  • Windows 7 with MATLAB 2014a and Visual Studio Professional.
  • Windows 10 with MATLAB 2008a and MinGW
  • Windows XP with MATLAB 2008b and MinGW
  • Windows 7 with GNU Octave 4.0.0