I usually design my evolutionary algorithms in Python (initially for prototyping, but I am too lazy for doing later a version in C/C++ or similar). However, unfortunately, the majority of people in my area work in Matlab 😭. Thus, sometimes I have to wrap the source code for the benchmarks in competition to python ☺️. This is the story of the my new package at PyPi: https://pypi.org/project/cec2019comp100digit/. This package is for being able to participate in the CEC’2019 100-Digit Challenge Competition, website here: http://www.
I write because I am organizing the Large-Scale Global Optimization Competition at the IEEE Congress on Evolutionary Computation CEC’2019, with interesting news: Source code for C++/Matlab/Java/Python. The source code store during the run all required files with the results, you do not need to worry about that, we do it for you! In python it is as simple as pip install cec2013lsgo to be able to run the experiments, in C++, and the source code and documentation is freely available.
In my last course, I decided to give a small introduction about CMake. The reason is that, although we teach them Make, the majority of students do not use them in their programs. In fact, many times they create a “makefile” program to pretend they are using “make”, but actually, it is a bash script. My intention is to teach them Cmake to encourage them to use an automatic tool for compiling, expecting they use it more, by its simpler syntax.
