Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that
- do not sacrifice simplicity of design,
- are essentially tuning-free, and
- can be efficiently implemented directly in MATLAB code.
Currently, it only provides an implementation of the ‘jDE’ algorithm by Brest at al. (2006) for single-objective optimization.
deoptimm requires MATLAB R2021a and above. It also requires the Statistics and Machine Learning Toolbox. For the time being deoptimm will not be packaged in a toolbox. Simply download the source code and documentation to a convenient folder. Help documentation is available in the form of a live script found under the folder help.
deoptimm is licensed under the GNU General Public License version 3. No user support provided.