Recently we released Blizzard. It is capable of doing hybrid optimization using GELAB. Hybrid optimization is an important family of learning algorithms. Its main benefit in plain words is that it is helpful for training machines to perform intricate tasks. Its applications are well documented. Recently we had the pleasure of getting our work on hybrid optimization accepted in Springer’s prestigious Lecture Notes in Computer Science.
GELAB and Hybrid Optimization Using Grammatical Evolution
Muhammad Adil Raja Aidan Murphy Conor Ryan Part of the Lecture Notes in Computer Science book series (LNCS, volume 12489) Grammatical Evolution (GE) is a well known technique for program synthesis and evolution. Much has been written in the past about its research and applications.
Following is the video presentation of the paper.
And here is the link to the git repository of GELAB.
adilraja/GELAB
GELAB: A Matlab Toolbox for Grammatical Evolution GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Millions of developers and companies build, ship, and maintain their software on GitHub – the largest and most advanced development platform in the world.
Hybrid Optimization And GELAB by OptimumT is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.